131 Data Science Manager jobs in Canada
Data Science Manager, Real-Time Supply Management (Optimization)
Toronto, Ontario
Lyft
Posted 5 days ago
Job Viewed
Job Description
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world's best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products.
The Real-Time Supply Management (RTSM) team's mission is to improve rideshare market throughput by efficiently motivating driver decisions in real-time while maintaining a positive driver experience for long-term market health. This team is responsible for the efficient reinvestment of significant budgets to optimize supply conditions, providing effective supply controls etc., where and when the marketplace needs it most. Key areas include managing Bonus Zones, Priority Mode, and developing algorithms to improve budget allocation for maximum market throughput.
We are looking for a Data Science Manager to lead data science initiatives for the Real-Time Supply Management (RTSM) team. You will play a pivotal role in developing the vision, setting roadmaps, and leading the execution of data science projects that directly impact Lyft's marketplace efficiency and driver engagement. You'll partner closely with product, engineering, and operations leaders to build and scale our real-time incentive systems, shape long-term strategy, and deliver on critical business goals. You will initially be hands-on in building models and pipelines, gradually shifting to more managerial responsibilities as the team grows. The ideal candidate will have strong experience in algorithm development (particularly in optimization, machine learning, or causal inference), thrive in a fast-paced environment, and possess a hands-on, entrepreneurial mindset to drive results.
**Responsibilities:**
+ Lead, mentor, and grow a high-performing team of data scientists with diverse backgrounds, including optimization, experimentation, machine learning and causal inference.
+ Develop and deploy machine learning models, algorithms, and systems to optimize real-time supply management, including Bonus Zone budget allocation and Priority Mode effectiveness.
+ Define and drive the data science vision, strategy, and roadmap for RTSM, aligning with overall business objectives to improve market throughput and driver experience.
+ Provide strong technical guidance and coaching to the team on complex data science problems related to real-time decision-making and resource allocation.
+ Champion data-driven decision-making and prioritization within the RTSM team and with cross-functional partners.
+ Lead deep-dive analyses into large-scale datasets to identify opportunities for improving incentive efficiency, spend accuracy, and overall market health.
+ Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for real-time incentives.
+ Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies.
**Experience:**
+ Advanced degree (MS or PhD, PhD preferred) in a quantitative field like Operations Research, Computer Science, Statistics, Engineering, or a related area; or equivalent work experience.
+ 5+ years of hands-on technical experience in machine learning, causal inference, optimization, or data science, preferably with applications in real-time systems or marketplace dynamics.
+ 1+ years of management experience building, leading, and mentoring data science teams.
+ Proven track record of leveraging data science, optimization, and/or machine learning to drive significant business outcomes.
+ Experience guiding teams through ambiguous and complex technical challenges to deliver impactful solutions.
+ Strong understanding of experimental design and causal inference.
+ Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
+ Hands-on experience with large-scale data processing (e.g., Spark, SQL) and machine learning frameworks is highly desirable.
+ Familiarity with real-time bidding, dynamic pricing, or supply chain optimization is a strong plus.
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid #non_promo_job
The expected base pay range for this position in the Toronto area is CAD $170,000 - CAD $215,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft work in dynamic environments, where we embrace moving quickly to build the world's best transportation. We take on a variety of problems ranging from shaping long-term business strategy with data, making short-term critical decisions, and building algorithms/models that power our internal and external products.
The Real-Time Supply Management (RTSM) team's mission is to improve rideshare market throughput by efficiently motivating driver decisions in real-time while maintaining a positive driver experience for long-term market health. This team is responsible for the efficient reinvestment of significant budgets to optimize supply conditions, providing effective supply controls etc., where and when the marketplace needs it most. Key areas include managing Bonus Zones, Priority Mode, and developing algorithms to improve budget allocation for maximum market throughput.
We are looking for a Data Science Manager to lead data science initiatives for the Real-Time Supply Management (RTSM) team. You will play a pivotal role in developing the vision, setting roadmaps, and leading the execution of data science projects that directly impact Lyft's marketplace efficiency and driver engagement. You'll partner closely with product, engineering, and operations leaders to build and scale our real-time incentive systems, shape long-term strategy, and deliver on critical business goals. You will initially be hands-on in building models and pipelines, gradually shifting to more managerial responsibilities as the team grows. The ideal candidate will have strong experience in algorithm development (particularly in optimization, machine learning, or causal inference), thrive in a fast-paced environment, and possess a hands-on, entrepreneurial mindset to drive results.
**Responsibilities:**
+ Lead, mentor, and grow a high-performing team of data scientists with diverse backgrounds, including optimization, experimentation, machine learning and causal inference.
+ Develop and deploy machine learning models, algorithms, and systems to optimize real-time supply management, including Bonus Zone budget allocation and Priority Mode effectiveness.
+ Define and drive the data science vision, strategy, and roadmap for RTSM, aligning with overall business objectives to improve market throughput and driver experience.
+ Provide strong technical guidance and coaching to the team on complex data science problems related to real-time decision-making and resource allocation.
+ Champion data-driven decision-making and prioritization within the RTSM team and with cross-functional partners.
+ Lead deep-dive analyses into large-scale datasets to identify opportunities for improving incentive efficiency, spend accuracy, and overall market health.
+ Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for real-time incentives.
+ Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies.
**Experience:**
+ Advanced degree (MS or PhD, PhD preferred) in a quantitative field like Operations Research, Computer Science, Statistics, Engineering, or a related area; or equivalent work experience.
+ 5+ years of hands-on technical experience in machine learning, causal inference, optimization, or data science, preferably with applications in real-time systems or marketplace dynamics.
+ 1+ years of management experience building, leading, and mentoring data science teams.
+ Proven track record of leveraging data science, optimization, and/or machine learning to drive significant business outcomes.
+ Experience guiding teams through ambiguous and complex technical challenges to deliver impactful solutions.
+ Strong understanding of experimental design and causal inference.
+ Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
+ Hands-on experience with large-scale data processing (e.g., Spark, SQL) and machine learning frameworks is highly desirable.
+ Familiarity with real-time bidding, dynamic pricing, or supply chain optimization is a strong plus.
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid #non_promo_job
The expected base pay range for this position in the Toronto area is CAD $170,000 - CAD $215,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
This advertiser has chosen not to accept applicants from your region.
0
Manager, Data Science
Longueuil, Quebec
NexWav
Posted today
Job Viewed
Job Description
Job Description
Résumé du poste
Le Manager Data Science est responsable de la direction stratégique et opérationnelle des activités de science des données au sein de l’organisation. Il ou elle agit comme un pont entre la stratégie d’affaires et la technologie, supervisant les équipes de data scientists, d’analystes et d’ingénieurs afin de concevoir, développer et déployer des modèles analytiques et d’intelligence artificielle qui soutiennent les décisions et optimisent les processus d’affaires.
Responsabilités principales
Le Manager Data Science aura pour mission de :
Définir la vision et la feuille de route analytique alignée sur les priorités stratégiques de l’entreprise.
Superviser et encadrer une équipe multidisciplinaire composée de data scientists, d’analystes et de MLOps engineers.
Piloter la livraison de projets analytiques et IA , de la phase de cadrage jusqu’à la mise en production des modèles.
Assurer la qualité et la robustesse des modèles développés, en favorisant les meilleures pratiques en matière de gouvernance des données, d’éthique et de performance.
Collaborer étroitement avec les directions métiers (marketing, opérations, finance, etc.) pour identifier et prioriser les cas d’usage à forte valeur ajoutée.
Contribuer à la mise en place d’une culture data-driven , en vulgarisant les concepts analytiques et en soutenant la formation interne.
Optimiser les pipelines analytiques et IA , en collaboration avec les équipes Data Engineering et IT.
Veiller à la documentation, au monitoring et à la maintenance des modèles déployés.
Assurer la veille technologique sur les outils, méthodes et tendances en science des données et intelligence artificielle (LLM, MLOps, explainability, etc.).
Profil recherché
Diplôme universitaire en science des données, mathématiques appliquées, informatique, génie ou tout autre domaine connexe.
Minimum de 7 à 10 ans d’expérience pertinente en science des données, dont au moins 3 ans en gestion d’équipe .
Solide maîtrise des techniques de modélisation prédictive, d’apprentissage automatique et d’analyse statistique.
Excellente compréhension des architectures de données modernes (cloud, data lake, entrepôt de données, API, etc.).
Expérience concrète avec des outils tels que Python, SQL, Spark, Databricks, MLflow, TensorFlow, ou scikit-learn .
Connaissance des bonnes pratiques de MLOps, gouvernance des modèles et observabilité IA .
Capacité démontrée à transformer des besoins d’affaires en solutions analytiques concrètes et mesurables .
Leadership reconnu, excellentes habiletés en communication et sens aigu de la collaboration interfonctionnelle.
This advertiser has chosen not to accept applicants from your region.
1
Data Analysis
Quebec, Quebec
Experience Internship Canada Inc.
Posted today
Job Viewed
Job Description
Posizione
Il ruolo prevede la raccolta, l’elaborazione e l’interpretazione di dati aziendali per supportare decisioni strategiche. Analizza tendenze, crea report e visualizzazioni, e collabora con vari team per migliorare processi e performance basandosi su evidenze numeriche.Caratteristiche del candidato
Lingue straniereE' richiesta la conoscenza di almeno una delle seguenti lingue
This advertiser has chosen not to accept applicants from your region.
2
Manager, Data Science and Analytics
Montréal, Quebec
Vention
Posted today
Job Viewed
Job Description
Job Description
Additional Information
Job Description
Company Description
Vention helps some of the most innovative manufacturing companies automate their production floor in just a few days. Vention's manufacturing automation platform (MAP) enables its clients to design, automate, order, and deploy manufacturing equipment directly from their web browser. Vention is headquartered in Montreal, Canada, with offices in Berlin and Boston, and is used in over 3,000 factories on 5 continents.
As one of Canada’s Most Admired Cultures we are a performance driven culture that cares deeply about our employees well being. We set ambitious goals, rely on data, and thrive on healthy debate. But we also know sustainable performance comes from a caring and uplifting environment. Both sides of our culture fuel each other—and we protect them equally. Our values & principles include:
- We make our clients successful - we do what’s right for our customers, even when it makes our roles more challenging.
- We execute and deliver - we set ambitious goals for ourselves and are energized about meeting them.
- We debate, then commit - we challenge our own perspectives and ideas in pursuit of the best solutions.
- We innovate to inspire - we value innovation in products, user experiences, and business practices.
- We collaborate to achieve more - we work as one team to achieve more than we would on our own.
- We empower our people to reach their full potential - we hold ourselves to high standards but know when to celebrate progress & achievements
As the Manager of Data Science and Analytics, you will lead and build a small but growing team responsible for transforming Vention’s rich data into insights that directly impact strategic decisions across the company. You’ll get your hands dirty applying data science techniques to solve high-impact problems in operations, growth, product, and customer experience - all while helping establish the data vision and infrastructure that scales with our business.
This is a unique opportunity for a strong leader and active contributor who thrives in a high-autonomy, high-impact role and is excited about growing the data function from the ground up. Today, you’ll manage one data analyst and work hands-on with engineering and business teams. Tomorrow, you’ll be scoping and leading an expanded team to meet the growing needs of the business.
This role is mission-critical to how we scale and compete. With access to a gold mine of high-value data, you’ll be instrumental in shaping strategy across the company. If you’re passionate about using data to solve real-world problems at the intersection of AI and advanced manufacturing, this is your opportunity.
What You’ll Do:
Leadership and Stakeholder Collaboration
- Manage, mentor, and grow a high-performing data team, while contributing directly to analytics and data science initiatives. Promote best practices in data management and modeling.
- Partner with business leaders to understand critical data needs, define priorities, and ensure alignment between analytics initiatives and strategic goals.
- Own the analytics roadmap and sprint planning processes. Balance quick wins with long-term capability building in line with evolving business needs.
Analytics & Insight Generation
- Drive complex data modelling and advanced analytics initiatives (including statistical modelling, forecasting, and clustering) to identify trends, optimize performance and drive growth.
- Lead the development of data visualization strategies, dashboards, and KPIs that deliver actionable insights and drive strategic business decisions.
- Translate complex analytics into actionable recommendations for executive leadership and key stakeholders.
Data Infrastructure & Governance
- Own the development, reliability, and scalability of the company’s data infrastructure, including the data warehouse, ETL/ELT pipelines, and source system integrations.
- Ensure data accuracy and consistency while adhering to compliance and governance standards.
- Maintain documentation for data architecture, processes, and analytics methodologies.
What You Bring to the Table:
- 5–7 years of hands-on experience in data science or analytics, with a proven ability to lead projects, manage teams and influence business decisions.
- Bachelor’s degree in Engineering, Computer Science, Data Science, Business ANalytics Mathematics, Statistics, or a related field
- Strong technical foundation with proficiency in Python, SQL and BI tools (i.e. Power BI/Looker).
- Proven experience with data warehousing concepts, ETL processes, and data modelling techniques (i.e. Snowflake, Airbyte, AWS)
- Deep knowledge of statistical techniques, regression modeling, and machine learning methods (e.g., clustering, decision trees, neural networks).
- Excellent communication and collaboration skills, with a passion for translating data into actionable insights for non-technical stakeholders. Bilingual (English/French) is a strong asset.
- Curious, entrepreneurial, and hands-on — driven to build data capabilities from the ground up.
Additional Information
How We Take Care of You
- Flexible paid time off.
- Global comprehensive health plans so you feel your best.
- Complimentary beverages and snacks so that you are fuelled and ready for your day.
- Career growth opportunities. Your future matters.
- Fun-filled social events curated based on diverse interests for our team to celebrate together. From sponsored sports teams to trivia nights.
- Time off to volunteer and give back to your community.
What to Expect in Your Interview
- Initial Call
- Team interview
- Challenge
- Final Interview
- Decision & Offer
️Commitment to Equal Employment Opportunity
Our culture is built for high achievers who thrive in fast-paced, high-impact environments. At Vention, you'll have the chance to shape products, processes, and strategies that leave a lasting impression.
When you join Vention, you join a team of professionals with a diverse variety of experiences, backgrounds, and perspectives. We’re committed to fostering a supportive, inclusive workplace where collaboration fuels extraordinary outcomes - and where strong, lasting relationships are built through shared drive and passion. We’re passionate about helping you do your best work. Claim your seat and find out what you can do!
If you require any accommodations during the interview process, let us know - we are happy to support you.
Not sure if your experience checks every box? That’s okay - apply anyway. We’d love to get to know you and share more about the role.
This advertiser has chosen not to accept applicants from your region.
3
Intern, Aircraft Maintenance Data Analysis (Winter 2026)
Dorval, Quebec
Bombardier
Posted 3 days ago
Job Viewed
Job Description
**Innovation is in our DNA. is it in yours?**
Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
**Your boarding pass will include.**
Several conferences, including:
+ Meet An Executive
+ Women Taking Flight
Learning more about Bombardier, including:
+ Bombardier Products conference
+ Visits of the Bombardier sites
+ Bombardier Academy of Learning
Many social/networking opportunities, including:
+ Volunteering
+ Networking for Success
+ 5 à 7, Potluck, and much more!
**What are your contributions to the team?**
+ Support reliability data collection improvement process to ensure a high level of data accuracy and completeness.
+ Build new tools and interfaces to our data using Oracle, Access, Excel with VBA, and MS PowerBI.
+ Update and document processes and procedures as required.
**How to thrive in this role?**
+ You are currently completing a degree in Computer Science, IT/Software/Electrical/Aerospace Engineering or other related fields. Non-engineering fields will also be considered.
+ You have completed a minimum of 2 years of studies in this program.
+ You have strong analytical abilities.
+ You have in-depth technical knowledge of Microsoft Suite products
+ You have a strong understanding of how to manipulate data in MS Excel as required with VBA.
+ You have can create queries and filters in MS Access, for the purpose of engineering data analysis.
+ You have a good foundation with MS Power BI and PowerAutomate to build dashboards and reports (asset)
+ You have knowledge of SAP, Salesforce.com, Oracle, Azure, SQL, Maximo and Machine Learning (asset)
+ You possess excellent communication (English required), presentation and interpersonal skills.
+ You are a highly motivated team player with a sense of responsibility and good judgment.
**Boarding Information:**
+ Location: Administrative Centre (CA)
+ Duration: 8 months
+ Flexible workplace-Hybrid
_It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose._
Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
**Your boarding pass will include.**
Several conferences, including:
+ Meet An Executive
+ Women Taking Flight
Learning more about Bombardier, including:
+ Bombardier Products conference
+ Visits of the Bombardier sites
+ Bombardier Academy of Learning
Many social/networking opportunities, including:
+ Volunteering
+ Networking for Success
+ 5 à 7, Potluck, and much more!
**What are your contributions to the team?**
+ Support reliability data collection improvement process to ensure a high level of data accuracy and completeness.
+ Build new tools and interfaces to our data using Oracle, Access, Excel with VBA, and MS PowerBI.
+ Update and document processes and procedures as required.
**How to thrive in this role?**
+ You are currently completing a degree in Computer Science, IT/Software/Electrical/Aerospace Engineering or other related fields. Non-engineering fields will also be considered.
+ You have completed a minimum of 2 years of studies in this program.
+ You have strong analytical abilities.
+ You have in-depth technical knowledge of Microsoft Suite products
+ You have a strong understanding of how to manipulate data in MS Excel as required with VBA.
+ You have can create queries and filters in MS Access, for the purpose of engineering data analysis.
+ You have a good foundation with MS Power BI and PowerAutomate to build dashboards and reports (asset)
+ You have knowledge of SAP, Salesforce.com, Oracle, Azure, SQL, Maximo and Machine Learning (asset)
+ You possess excellent communication (English required), presentation and interpersonal skills.
+ You are a highly motivated team player with a sense of responsibility and good judgment.
**Boarding Information:**
+ Location: Administrative Centre (CA)
+ Duration: 8 months
+ Flexible workplace-Hybrid
_It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose._
This advertiser has chosen not to accept applicants from your region.
4
Student Intern, Smart Energy - Pricing Management and Product Data Analysis
Toronto, Ontario
Celestica
Posted 18 days ago
Job Viewed
Job Description
Req ID:
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity** : Job experience at a large Canadian-based global company
+ **Innovation** : We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration** : Students work as part of global teams, enabled by collaborative technology
+ **Sustainability** : We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities** : including soft skills courses, innovation projects and mentorship
+ **Networking** : Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun** : Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this opportunity:**
The **Smart Energy - Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Research Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity** : Job experience at a large Canadian-based global company
+ **Innovation** : We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration** : Students work as part of global teams, enabled by collaborative technology
+ **Sustainability** : We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities** : including soft skills courses, innovation projects and mentorship
+ **Networking** : Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun** : Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this opportunity:**
The **Smart Energy - Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Research Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
This advertiser has chosen not to accept applicants from your region.
5
Student Intern, Smart Energy - Account Focused, Pricing Management and Product Data Analysis
Toronto, Ontario
Celestica
Posted 25 days ago
Job Viewed
Job Description
Req ID:
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity:** Job experience at a large Canadian-based global company
+ **Innovation:** We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration:** Students work as part of global teams, enabled by collaborative technology
+ **Sustainability:** We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities:** including soft skills courses, innovation projects and mentorship
+ **Networking:** Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun:** Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this Opportunity:**
The **Smart Energy - Account Focused, Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. The intern will be assigned to work with a client for the duration of the internship. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send, and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Researching Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Support internal customer requisitions and accurately input data on the products pricing information.
+ Report current, accurate data on internal databases.
+ Track prices for components, monitor the influx of data, and understand what drives cost reduction in daily activities.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity:** Job experience at a large Canadian-based global company
+ **Innovation:** We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration:** Students work as part of global teams, enabled by collaborative technology
+ **Sustainability:** We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities:** including soft skills courses, innovation projects and mentorship
+ **Networking:** Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun:** Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this Opportunity:**
The **Smart Energy - Account Focused, Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. The intern will be assigned to work with a client for the duration of the internship. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send, and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Researching Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Support internal customer requisitions and accurately input data on the products pricing information.
+ Report current, accurate data on internal databases.
+ Track prices for components, monitor the influx of data, and understand what drives cost reduction in daily activities.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
This advertiser has chosen not to accept applicants from your region.
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6
Software Dev Manager, Measurement Ad Tech Data Science
Toronto, Ontario
Amazon
Posted 24 days ago
Job Viewed
Job Description
Description
Amazon Advertising is a growing part of Amazon's portfolio of world-class products, serving billions of ad impressions and millions of clicks daily. As the Software Development Manager (SDM) on Measurement Products team, you will be at the forefront of the customer experience leading a team of full-stack developers in delighting our advertising customers.
Our team's mandate is to launch and accelerate adoption of advertising measurement products and services that enhance advertiser experience on Amazon. We are responsible for defining and delivering a collection of self-service performance measurement products that enable Advertisers to understand the impact of their Advertising on consumers. Our products are strategically important to drive long term growth. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
We are looking for a sharp, tech-savvy leader to own and drive execution of the product roadmap. Our product is built with a combination of ReactJS, Javascript, JAVA, and REST. As the leader of a team of Software Development Engineers (SDEs), you won't be coding daily, but you should be comfortable reviewing code, have a strong sense of technical design, and bring appropriate rigor to solving complex customer problems. Strong partnership with Product Managers will further ensure success.
As a people leader, you will build and lead the team, manage performance, and shepherd the careers of your direct reports. Your excellent communication skills will be used to sharpen technical ideas, establish clear priorities, and drive high quality work.
This highly visible role requires frequent communication with senior leadership in order to help shape and deliver on the product roadmap, and technical / business / customer experience goals. You will be given an opportunity to own and drive initiatives through the entire software stack -- from algorithmic innovation, all the way down to the datasets that the back-end services consume. You will also need a pragmatic and iterative approach to building software: an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams.
The ideal candidate is looking for a career where you'll be able to think big, create, build, deliver, and impress. You look at problems holistically, and thrive on the intricate complexity of understanding feedback loops and ecosystems. You want to work on projects where you are implementing solutions to real problems that require creative solutions, deep understanding of the problem space, and challenging yourself and others to constantly come up with better solutions.
Key job responsibilities
Lead the technical strategy of a business critical initiative to design, develop, launch and maintain measurement applications that compute accurate estimates of advertising impact. Work with the data to understand advertiser needs and develop most efficient ways of handling it. Support and improve what your team has built.
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Amazon Advertising is a growing part of Amazon's portfolio of world-class products, serving billions of ad impressions and millions of clicks daily. As the Software Development Manager (SDM) on Measurement Products team, you will be at the forefront of the customer experience leading a team of full-stack developers in delighting our advertising customers.
Our team's mandate is to launch and accelerate adoption of advertising measurement products and services that enhance advertiser experience on Amazon. We are responsible for defining and delivering a collection of self-service performance measurement products that enable Advertisers to understand the impact of their Advertising on consumers. Our products are strategically important to drive long term growth. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.
We are looking for a sharp, tech-savvy leader to own and drive execution of the product roadmap. Our product is built with a combination of ReactJS, Javascript, JAVA, and REST. As the leader of a team of Software Development Engineers (SDEs), you won't be coding daily, but you should be comfortable reviewing code, have a strong sense of technical design, and bring appropriate rigor to solving complex customer problems. Strong partnership with Product Managers will further ensure success.
As a people leader, you will build and lead the team, manage performance, and shepherd the careers of your direct reports. Your excellent communication skills will be used to sharpen technical ideas, establish clear priorities, and drive high quality work.
This highly visible role requires frequent communication with senior leadership in order to help shape and deliver on the product roadmap, and technical / business / customer experience goals. You will be given an opportunity to own and drive initiatives through the entire software stack -- from algorithmic innovation, all the way down to the datasets that the back-end services consume. You will also need a pragmatic and iterative approach to building software: an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams.
The ideal candidate is looking for a career where you'll be able to think big, create, build, deliver, and impress. You look at problems holistically, and thrive on the intricate complexity of understanding feedback loops and ecosystems. You want to work on projects where you are implementing solutions to real problems that require creative solutions, deep understanding of the problem space, and challenging yourself and others to constantly come up with better solutions.
Key job responsibilities
Lead the technical strategy of a business critical initiative to design, develop, launch and maintain measurement applications that compute accurate estimates of advertising impact. Work with the data to understand advertiser needs and develop most efficient ways of handling it. Support and improve what your team has built.
Basic Qualifications
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred Qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
This advertiser has chosen not to accept applicants from your region.
7
Machine Learning Engineer
Vancouver, British Columbia
Mastercard
Posted 3 days ago
Job Viewed
Job Description
**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Machine Learning Engineer
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.
As a Machine Learning Engineer, you will:
- Collaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities.
- Develop ML Tools that scale that solve complex problems for Data Scientists in the modeling teams
- Develop and maintain high-throughput computation engines that is able to handle petabytes of data
- Assist the deployment team to deploy and validate production artifacts.
- Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
- Create products that are well-architected, thoroughly documented, and easy to understand and maintain.
All About You:
- Good knowledge of Linux / Bash environment
- Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, Ray
- Good communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
- At least an undergraduate degree in CS, or a STEM related field
Nice to have:
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
- Data Science Experience
- Experience with C++ and/or Rust
- Understands and implements methods to evaluate own work and others for error
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
**Pay Ranges**
Vancouver, Canada: $88,000 - $141,000 CAD
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Machine Learning Engineer
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution.
You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.
As a Machine Learning Engineer, you will:
- Collaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities.
- Develop ML Tools that scale that solve complex problems for Data Scientists in the modeling teams
- Develop and maintain high-throughput computation engines that is able to handle petabytes of data
- Assist the deployment team to deploy and validate production artifacts.
- Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
- Create products that are well-architected, thoroughly documented, and easy to understand and maintain.
All About You:
- Good knowledge of Linux / Bash environment
- Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, Ray
- Good communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
- At least an undergraduate degree in CS, or a STEM related field
Nice to have:
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
- Data Science Experience
- Experience with C++ and/or Rust
- Understands and implements methods to evaluate own work and others for error
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
**Pay Ranges**
Vancouver, Canada: $88,000 - $141,000 CAD
This advertiser has chosen not to accept applicants from your region.
8
Machine Learning Engineer
Toronto, Ontario
TD Bank
Posted 26 days ago
Job Viewed
Job Description
**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
This advertiser has chosen not to accept applicants from your region.
9