152 Deep Learning Specialist jobs in Canada

Data Science Student
**The future you want is within reach.**
At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry.
We're also looking at what's next for you and how we can help you build a career you're proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.
We are seeking a **Data Science Student** for our **Canadian Industrial Division** district office **in Edmonton, AB,** that is available for **4 or 8 months** starting in **January 2026** . This position will be under the direct supervision of the **Manager, Data Science** .
**Please note remote work is not available for this position.**
As a **Data Science Student** , you will contribute to our team by:
**Responsibilities**
- Gain proficiency in exploratory data analysis, perform it, and present insights.
- Prepare data sets for visualization and machine learning modeling.
- Train machine learning systems using data annotation and benchmarking techniques.
- Help your colleagues assess AI/ML model performance and propose paths for potential improvement.
- Prepare data visualizations using industry-leading tools to summarize results for stakeholders.
- Document your results - tell the story of the work, the successes, and the lessons-learned for posterity.
- Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise.
**This position has a twist.** Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you:
- Develop a proposal
- Engage with the right people to inform your work
- Build your prototype or visualization
- Assess and present the results
**Qualifications**
What you will bring to the role:
- Currently enrolled in a postsecondary program
- You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless.
- Analytical skills - ability to quickly analyze data to identify and visualize key insights - as evidenced by coursework, projects, or research requiring the analysis of large datasets.
- Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine.
- Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us. We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools.
- Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you'll find it important to be able to communicate appropriately with both as needed.
Next Step:
- Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview.
PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.
The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants. We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
PCL combines numerous pay and benefit strategies to provide a comprehensive and competitive total rewards package. Any salary range displayed by a job board is an estimate. Your salary, which considers your unique qualifications and experience, is just one component of the robust total rewards you'll enjoy at PCL. This may include an employee share purchase offering, discretionary annual performance bonus, comprehensive benefits and wellness programs, retirement plan plus matching, and career development programs.
Should you require an accommodation during the application process, please contact us ( ) with the position and location you are interested in.
Together, we can build success and a better future. Let's get started!
**Employee Status:** Internship Full-Time
**Company:** PCL Industrial Management Inc.
**Primary Location:** Edmonton, Alberta (Ind Mgmt)
**Job:** Data Science Student
**Requisition** : 10026

**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**
Vice President, Data Science
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
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. Do you have a passion for developing products using leading-edge technology that solve for key industry pain points?
Role:
The Vice President will provide strategic leadership and direction, overseeing key business functions to drive growth and innovation. This role involves managing a team of data scientists and analysts in cross-functional teams, ensuring operational excellence, and fostering a culture of collaboration and continuous improvement. The Vice President will develop and implement strategic initiatives, align departmental goals with the organisation's vision, and maintain strong relationships with stakeholders. The ideal candidate will possess exceptional leadership skills, a deep understanding of the industry, and the ability to translate strategic objectives into actionable plans.
You will also lead a team of highly skilled data science analysts in data quality initiatives and tasks in a multi-product environment. You will drive excellence in execution, automation and identify new and novel ways to enhance the overall data quality of our products and business process.
You've been involved in defining AI strategies and aligning those strategies to data, product and business strategies to support and enhance the overall success of those strategies. You will contribute to the overall data strategy for the organization and assist with the strategy to align our data and processes with the AI strategy and lead the incorporation of AI for revenue generation, process optimization and data quality.
All About You:
- Proven ability to develop and execute data science strategies that align with business goals and objectives.
- Deep understanding of data science principles, algorithms, and techniques including supervised and unsupervised learning, deep learning, natural language processing and have extensive knowledge of the low-level details behind these algorithms.
- Recent experience leading GenAI initiatives focused on leveraging the latest capabilities of ChatGPT, Gemini or similar.
- Several years of prior experience as a senior level data scientist developing and deploying machine learning and deep learning solutions end-to-end (data exploration to deployment).
- Skilled in recruiting, mentoring, and managing high-performing teams.
- Passionate about leveraging advanced analytics and machine learning to drive innovation.
- Strong track record of partnering with senior leadership and cross-functional teams.
- Exceptional ability to convey complex technical information to diverse audiences.
- Focused on defining OKR's, KPIs and metrics to measure the impact and effectiveness of product workflows and data science projects.
- Ability to translate data insights into strategic business recommendations.
- Ensures adherence to data governance policies and standards.
- Ability to explain complex algorithms and results to variety of audiences
Experience working:
- Previously as a data scientist with experience in Python, R Programming, ML Frameworks (Scikit learn) and Deep Learning Frameworks (TensorFlow, PyTorch)
- Preferably in the AzureML suite of machine learning technologies or prior experience with either AWS or Google machine learning tools and technologies.
- With the following technologies SQL, SAP HANA, Hadoop, Snowflake, Linux, Azure, Azure Machine Learning, Databricks, Apache Spark (PySpark/Scala)
- With analysts to build reporting and dashboards for business use cases
- With data analysis, statistical analysis and the ability to convey complex analysis to broad audiences
- In a cloud based big data environment and deploying machine learning models at scale
- With source control, production and non-production environments and automated build and deployment
- Ideally you have experience in banking, e-commerce, credit cards or payment processing and exposure to both SaaS and premises-based architectures.
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.

Job Description

Job Description

Company Description

ISAAC partners with North American fleets to provide a user-friendly solution that simplifies trucking. Focused 100% on the trucking industry, we help carriers overcome challenges, while boosting driver happiness. With proven system reliability and system integration capabilities driven by our open platform, our solution helps your drivers and back-office team work smoothly.

For more information, visit

Job Description

As Director of AI and Data Science, your main mission is to mobilize and integrate expertise in artificial intelligence and data science to develop and optimize concrete solutions on the ISAAC platform. You are responsible for ensuring the operational application of AI, transforming prototypes into viable commercial solutions. You work closely with users and technical teams, promoting a practical, hands-on approach. Additionally, you drive the AI product roadmap, gathering client feedback and ensuring the relevance and added value of delivered solutions, while supporting functional synergy and continuous improvement within teams.

Your benevolent leadership fosters a culture of collaboration and belonging, motivating teams to contribute to ISAAC’s success.

Responsibilities

• Define the strategy, tactics, and action plan for data science and AI integration on the ISAAC platform
• Transform prototypes into viable commercial solutions
• Identify opportunities and strategies in AI and data management
• Measure and analyze the impact of AI projects using clear performance indicators
• Collaborate with partners and clients to integrate AI into solutions
• Gather client feedback and ensure project relevance
• Manage AI projects, respecting deadlines and budgets
• Drive the AI product roadmap and collaborate with Product and Technology teams
• Define and monitor KPIs to assess the effectiveness of AI projects
• Ensure compliance with current standards and regulations
• Establish policies to guarantee data quality, security, and confidentiality
• Automate and monitor processes to maintain data quality and security
• Turn data into relevant and usable information
• Conduct ongoing technology watch and integrate relevant innovations
• Collaborate with other technology leaders to integrate innovations into processes and products
• Represent the company at technology events.

Qualifications

• University degree in data science, artificial intelligence, information technology, project management, or a related field
• 8 years of experience in AI, team management, and delivering impactful AI solutions
• Inclusive leadership and ability to mobilize, inspire, and develop talent, as well as influence internal and external partners
• Minimum 5 years of experience transforming prototypes into commercial solutions, with regulatory standards and performance tracking (KPI/ICP)
• Expertise in governance, data quality, and security in highly regulated environments
• Ability to define and implement an AI strategy aligned with business objectives, with ongoing technology watch and continuous improvement
• Mastery of French and English (Reason: multilingual external clientele)
• Technical skills: Python, R, SQL, NoSQL, data warehouses, Power BI, Tableau, Looker
• Azure AI, Google Cloud AI, AWS, MLflow, TensorFlow, PyTorch, MLOps, and CI/CD
• Knowledge of ISO standards, GDPR, LOI 25 (Quebec), and data governance frameworks (catalog, traceability, ethics, bias management)
• Mastery of agile methodologies (Scrum, Kanban) and collaboration tools (GitHub, Slack/MS Teams)
• Ability to anticipate emerging trends (generative AI, autonomous agents, multimodal models, etc.) and promote a culture of innovation and continuous improvement.

Conditions

• Occasional availability for work outside normal hours (e.g., weekends or evenings) as operational needs require

Assets

• Knowledge and understanding of road transport
• A graduate degree (Master’s or MBA) related to innovation management, advanced analytics, or digital transformation

Additional Information

Collaborators are at the center of ISAAC’s interests and values. This explains the numerous benefits of working at ISAAC, namely:

• varied career opportunities
• a stimulating work environment focused on innovation
• enthusiastic and collaborative teams
• competitive salaries and benefits promoting work-life balance: a complete group insurance plan, group RRSP, an EAP, flexible hours, 4 weeks of vacation, etc.
• various social activities and free snacks and coffee every day.

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.
The Driver team aims to provide a best in class driving and earnings experience that enables anyone to join the platform and make a living. As a Data Scientist on the Driver Experience & Segments team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day. You will be a key partner in creating innovative ways to reward and recognize our best drivers, building tools to provide guidance to drivers on how to maximize their earnings, and designing the best UI and personalized XP to match the right rides to the right drivers quickly. This Scientist's role will inform the driver experience for all drivers, in particular our most valuable ones, and help to improve their take home earnings.
Data Science is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driver products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.
**Responsibilities:**
+ Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
+ Apply analytics, inference and experimentation techniques to solve business problems
+ Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
+ Establish metrics that measure the health of our driver products and driver experience
+ Develop analytical frameworks and dashboards to monitor business and product performance
+ Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
+ Design and implement data pipelines to support data analysis and product implementation
**Experience:**
+ Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
+ 4+ years experience in a data science role or analytics role
+ Proficiency in SQL - able to write structured and efficient queries on large data sets
+ Experience in programming, especially with data science and visualization libraries in Python or R
+ Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
+ Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
+ Experience in applying machine learning techniques a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
+ Experience working with ETL pipelines a 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
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000. 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.

Job Description

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

Job Description

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.

Qualifications

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. 

Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you!
Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first).
**Job Summary:**
Vail Resorts is looking to hire an experienced leader for our innovative Data Engineering and Data Science teams. As Senior Director of Data Science and Data Engineering, the role will be leading high-profile data teams that sit at the center of Vail Resorts organizational strategy touching critical areas and lines of business (Epic Pass, Lift Tickets, Ski School, Rentals, etc.) and receiving full executive sponsorship from CEO and the Executive Committee. The Vail Resorts data teams oversee the design and development of data pipelines and develop algorithmic models using our industry leading guest database to drive commercial impact and continue to push the limits of what is possible. In our next phase of organizational growth, the focus will be on scaling our data assets and infrastructure and advancing our data engineering and data science solutions across our core lines of business in service to our company's future long-range goals.
In this role, you will be responsible for leading the development, socialization, and implementation of intelligent data solutions across the enterprise. You will be ensuring strong scalability and performance of our data systems across the enterprise as well as advancing our existing set of algorithmic models. You will be creating new innovative data solutions that directly impact our business. You will develop a clear articulation of vision and roadmap of Data Science and Data Engineering towards long-range growth plans for the organization. You will be interfacing directly with senior stakeholders to align on business priorities and provide expertise in how data solutions can provide differentiated impact.
**Why this role is special:**
+ Vail Resorts is a fast-growing company at the forefront of the Travel and Tourism industry - _redefining the ski industry in the 21st century_
+ Leveraging analytics is a core pillar of Vail Resorts' strategy moving forward - _a critical driver of our success leading to a strong willingness to invest_
+ We are a data-driven business with a proprietary guest database unmatched by any other company in the industry - _a great foundation for building out analytic use cases_
+ There is a significant opportunity to lead our Data capabilities to the next level - _we are leading the adoption of data and cloud technologies to continue to enhance our impact_
+ Direct exposure to senior leaders of the business (CEO, CMO, broader Executive team) - _a unique opportunity to team with our business leadership to reimagine analytics_
**Job Specifications:**
+ Outlet: Corporate
+ Starting Wage: $188,000 - $40,000 + annual bonus + equity
+ Employment Type: Year Round
+ Shift Type: Full Time hours available
+ Minimum Age: At least 18 years of age
+ Housing Availability: No
**Job Responsibilities:**
+ Lead, develop, support and facilitate synergies between high-performing Data Science and Data Engineering teams
+ Develop, align on, and deliver on long-range vision for data teams at Vail Resorts
+ Lead the architecture, development, and management of data-driven solutions across the company
+ Drive the adoption of emerging technologies to enhance data analytics capabilities
+ Represent functional data teams by managing and collaborating across cross-functional technology and data initiatives
+ Present data and technical output that enables stakeholders to make informed and data driven decisions
+ Drive and support a culture of technical progression through both performance and usability of developed solutions
+ Be inquisitive and have an eye for identifying areas where data solutions can deliver efficiency and increased sophistication
+ Implement best practices for data management, governance, and quality assurance
+ Bring ambition, a problem solving attitude, and clear articulation of vision to continue to evolve the technical proficiencies of the team
**Job Requirements:**
+ At least 10+ years of experience
+ Previous experience managing, engaging, and driving a high-performing Data Science and Data Engineering teams
+ Previous experience in commercial settings driving strong financial outcomes with data ) initiatives
+ Advanced degree in a quantitative field (Computer Science, Statistics, Data Engineering or related field)
+ Demonstrated experience leading engineering and development of large scale data systems leveraging cloud infrastructure (AWS, Azure, GCP)
+ Extensive development experience in at least one programming language (Python, Java, etc.); advanced fluency in SQL preferred
+ Project management skills, including the ability to scope, deliver and deploy intelligent data solutions
+ Comfortable working in a dynamic, high performing group with several ongoing concurrent projects
+ Strong verbal and written communication skills as well as excellent presentation skills
+ Strong learning agility. Enjoys and excels in environments with new and increasingly complex strategic business challenges and issues-incorporating the newest ideas, technologies, and approaches to business
+ A bold, ambitious, and passionate leader while also demonstrating a high level of emotional intelligence and self-awareness
The expected Total Compensation for this role is 188,000 - 240,000 + annual bonus + equity. Individual compensation decisions are based on a variety of factors.
**Job Benefits**
+ Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons
+ MORE employee discounts on lodging, food, gear, and mountain shuttles
+ 401(k) Retirement Plan
+ Employee Assistance Program
+ Excellent training and professional development
Full Time roles are eligible for the above, plus:
+ Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours)
+ Free ski passes for dependents
+ Critical Illness and Accident plans
Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states* in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming.
Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion.
In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution.
We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers.
Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law.
_Requisition ID _
_Reference Date: 09/22/2025_
_Job Code Function: Data Warehouse/Business Intel_

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.
Lyft's Data Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment.
We are hiring for a variety of Data Science interns, focusing on the following specialties:
**Optimization:** Construct and fit statistical or optimization models that facilitate automated decision making in the app.
**Machine Learning:** Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment.
**Inference:** Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems.
You will report into a Science Manager.
**Responsibilities:**
+ Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
+ Perform exploratory data analysis to gain a deeper understanding of the problem
+ Write production modeling code; collaborate with software engineers to implement algorithms in production
+ Design and run both simulated and live traffic experiments
+ Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions
**Experience:**
+ **Currently pursuing a Masters or PhD degree at a university in Canada (required)** in mathematical sciences ( **Operations Research, Computer Science, Statistics** , Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; AND with **a graduation date between December 2026 and June 2027 (required)**
+ Available during **Summer 2026** for an internship in Toronto
+ Experience coding in **Python (required)** or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras)
+ Experimental design and analysis
+ Exploratory data analysis
+ Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling
+ Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation
**Benefits:**
+ Mental health benefits
+ In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
+ 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._ _#Hybrid_
_The expected base pay range for this position in the Toronto area is $45-$48/hour CAD. 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._