302 Scientist jobs in Canada

_When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans ( _Dental, medical, life insurance, disability, and more)_
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
As a Data Scientist, you will report to the Programs Manager in the Programs & Supply Chain department. You will collaborate closely with cross-functional teams to enhance supply chain efficiency and support strategic program initiatives, contributing to the overall success of our business unit.
+ Design and develop machine learning and AI models using Azure Databricks.
+ Use curated data from the data platform to create predictive, prescriptive, and descriptive models that address business needs.
+ Deploy models into production using Azure Databricks and other Azure ecosystem tools.
+ Monitor and maintain models to ensure accuracy, performance, and reliability over time.
+ Partner with the data engineering team to access and prepare high-quality datasets for model development.
+ Work closely with application developers to integrate AI models into AI-enabled applications seamlessly.
+ Conduct experiments to evaluate model performance and optimize algorithms for accuracy and efficiency.
+ Use Azure Databricks' model registry to track and manage model versions and performance.
+ Document model development processes, assumptions, and outcomes for transparency and reproducibility.
+ Share insights and findings with stakeholders to drive data-driven decision-making.
**How to thrive in this role? Skills, knowledge & experience:**
+ Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, or a related field. A PhD is a strong asset.
+ You have 5+ years of professional experience in data science and machine learning, with a focus on model development and deployment.
+ Hands-on experience with Azure Databricks, including its model registry and data catalog.
+ Experience developing machine learning models using Python and libraries such as TensorFlow, PyTorch, or scikit-learn.
+ You are autonomous, innovative and dynamic.
+ Proficiency in Python, SQL, and Spark for data processing and model development.
+ Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques.
+ Familiarity with Azure ML and other Azure ecosystem tools for model deployment and monitoring.
+ Experience with CI/CD workflows for AI/ML engineering is an asset.
+ Passion for staying ahead of industry trends, bringing fresh ideas, strong analytical problem-solving skills with attention to detail.
+ Interest in exploring and incorporating the latest advancements in AI/ML into projects.
Please note: You don't need all the skills, knowledge, and experience listed for this position! We're not looking for the perfect candidate, we're looking for great talent and resourcefulness.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Data Scientist
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift** Day job
**Employee Status** Regular
**Requisition** 7989 Data Scientist

Join a team! We are a global diversified pharmaceutical company enriching lives through our relentless drive to deliver better health outcomes. We develop, manufacture and market a range of products, primarily in gastroenterology, hepatology, neurology, dermatology, medical aesthetic devices, international pharmaceuticals. Our 7,000 employees share a common goal and values, propelling us to provide essential care to millions of people globally. We seek dedicated individuals who share our sense of urgency, unity, and excellence.
We are looking for a trustworthy and respectful individual who consistently does the right thing. Someone who is imaginative and proactive, with a keen eye for what is possible. A perceptive and adaptive person who is action oriented. We need a disciplined, focused, and accountable team member. If you embody these values, come join our company and help us shape the future.
We are all in it together to make a difference. Be a part of a culture that doesn't just wait for change but actively creates itwhere your skills and values drive our collective progress and impact.
**_Description de poste_**
Titre du poste : Scientifique **(Validation)**
**1. Finalité du poste (but, raison d'être du poste)**
+ Effectuer les transferts, les vérifications et les validations de méthode analytiques tant chimiques que physiques pour des matières premières, ainsi que des produits finis.
+ Effectuer l'optimisation (life cycle) des méthodes d'analyses, ainsi que le travail de validation nécessaire de revalidation tant chimiques que physiques pour des matières premières, des produits finis.
+ Effectuer les analyses chimiques ou physiques des matières premières, des produits finis, et des stabilités par des méthodes connues et officielles dans le but de déterminer la qualité d'un produit ou de suivre un procédé de fabrication
+ Effectuer les analyses reliées aux activités du laboratoire en respect des règles HSE et de la conformité aux BPF, BPL et autres guides et standards en vigueur.
+ Participer aux activités du laboratoire reliées aux qualifications de méthodes officielles connues, de procédés de fabrication, des équipements et résidus de lavage
**2. Fonctions principales**
+ Optimiser et valider des méthodes d'analyse en HPLC et GC.
+ Participer au transfert analytique des méthodes d'analyse connues et officiellement approuvées
+ Effectuer les analyses chimiques, physiques et instrumentales selon les méthodes connues, officiellement approuvées pour déterminer la qualité des produits sous analyse ou de suivre un procédé de fabrication (analyse pour validation de procédé)
+ Effectuer le suivi approprié sur les analyses chimiques
+ Compléter avec diligence la documentation d'analyses exécutées selon les normes et procédures en vigueur (BPF, BPL, LIMS, investigations, etc)
+ Participer aux différents projets du service
+ Investigations et reprises d'analyse suite à l'obtention des résultats atypiques
+ Qualification et calibration des instruments de laboratoire
+ Analyse des échantillons de validation de procédés de fabrication et des stabilités reliées aux projets
+ Participer à divers projets spéciaux selon les besoins du département
+ Participer à la rédaction de procédures et / ou de manuel d'opération, au besoin
+ Est garant du maintien de ses qualifications techniques et de sa connaissance des méthodes et procédures en vigueur
+ Effectuer la calibration des équipements dont il a usage selon les programmes appropriés et dont il possède les connaissances et les compétences appropriées
+ Effectuer son travail dans le respect des normes, politiques et procédures BPF, BPL et HSE en vigueur dans l'entreprise
+ S'assurer de maintenir son poste de travail propre, selon les BPL et les exigences HSE
+ Assurer la disponibilité du matériel nécessaire à l'exécution de ses tâches.
**3. Responsabilité de gestion**
Effectue les analyses de laboratoire (chimiques ou physiques) reliées aux différents produits et aux différents projets analytiques selon les méthodes connues, officiellement approuvées pour déterminer la qualité des produits sous analyse ou de suivre un procédé de fabrication (analyse pour validation de procédé). Effectue l'optimisation et la validation de méthode d'analyse. Il est donc responsable de la gestion de ses taches d'analyse et leur exécution et du respect de leur échéanciers.
Agir comme personne ressource lors de problèmes analytiques sur les lests qu'il exécute et/ou support à l'utilisation des instruments de laboratoire, là où applicable
**4. Ressources (moyens)**
Aucun budget à gérer. Les dépenses à engager sont la responsabilité du chef de service
**5. Principales relations professionnelles** (internes / externes)
**Partenaires internes** : Le service de Laboratoire et le service des achats, dans la coordination de leurs activités de travail
**Partenaires externes** : Fournisseurs de services en analyses de laboratoire
**6. Connaissances et compétences requises :**
**a) Formation requise**
Baccalauréat en Chimie, Biochimie
**b) Langues**
Français requis. Anglais un atout.
**c) Expérience et connaissances particulières**
5 à 7 ans d'expérience en optimisation et validation de méthode
Expérience avec Empower
Expérience en laboratoire d'analyse de produits pharmaceutiques
Connaissance des normes BPF / BPL canadiennes et internationales
Excellente connaissance des techniques analytiques et instruments de laboratoire (HPLC et GC)
Membre de l'ordre des chimistes
**d) Compétences techniques spécifiques**
Chimie analytique
Instrumentation au laboratoire
Métrologie
Systèmes d'informations de gestion : (LIMS, Empower, etc,.)
***
**_Job Description_**
Position title: Scientist **(Validation)**
**1.** **Purpose of the position**
- Perform transfers, verifications and validations of both chemical and physical analytical methods for raw materials and finished products.
- Perform optimization of analytical methods and validation work, both chemical and physical, for raw materials, finished products.
- Perform chemical or physical analyzes of raw materials, finished products, and stabilities by known and official methods in order to determine the quality of a product or to follow a manufacturing process
- Perform analyzes related to laboratory activities in compliance with HSE rules and compliance with GMP, GLP and other guides and standards in force.
- Participate in laboratory activities related to the qualifications of known official methods, manufacturing processes, equipment and washing residues
**2. Main duties**
- Optimize and validate HPLC and GC analysis methods
- Participate in the analytical transfer of known and officially approved analytical methods
- Perform chemical, physical and instrumental analyzes according to known, officially approved methods to determine the quality of products under analysis or to follow a manufacturing process (analysis for process validation)
- Perform the appropriate follow-up on chemical analyzes
- Diligently complete the documentation of analyzes carried out according to the standards and procedures in force (BPF, GLP, LIMS, investigations, etc.)
- Participate in the various departmental projects
-Investigations and re-analyzes following the obtaining of atypical results
- Qualification and calibration of laboratory instruments
- Analysis of validation samples of manufacturing processes and stabilities related to projects
- Participate in various special projects according to the needs of the department
- Participate in the drafting of procedures and / or operating manual, as needed
- Is responsible for maintaining his technical qualifications and his knowledge of the methods and procedures in force.
- Calibrate the equipment he uses according to the appropriate programs and for which he has the appropriate knowledge and skills
- Perform their work in compliance with GMP, GLP and HSE standards, policies and procedures in force in the company
- Make sure to keep his workstation clean, in accordance with GLP and HSE requirements
- Ensure the availability of the equipment necessary for the performance of its tasks.
**3. Management responsibility**
Performs laboratory analyzes (chemical or physical) related to different products and different analytical projects according to known, officially approved methods to determine the quality of the products under analysis or to follow a manufacturing process (analysis for process validation). Performs analysis method optimization and validation. He is therefore responsible for managing his analysis tasks and their execution and respecting their deadlines.
Act as a resource person during analytical problems on the weights that he or she executes and/or support the use of laboratory instruments, where applicable
**4. Resources (means)**
No budget to manage. Expenses to be incurred are the responsibility of the department head
**5. Main professional relationships (internal/external)**
Internal partners: The Laboratory department and the purchasing department, in the coordination of their work activities
External partners: Laboratory analysis service providers
**6. Knowledge and skills required:**
**a) Required training**
Bachelor of Chemistry, Biochemistry
**b) Languages**
French & English
**c) Special experience and knowledge**
5 to 7 years of experience in method optimization and validation
Experience with Empower
Pharmaceutical analysis laboratory experience
Knowledge of Canadian and international GMP / GLP standards
Excellent knowledge of analytical techniques and laboratory instruments (HPLC and GC)
Member of the Ordre des Chimistes
**d) Specific technical skills**
Analytical Chemistry
Instrumentation in the laboratory
Metrology
Management information systems: (LIMS, Empower, etc, .)
_The masculine is used in this publication without prejudice for the sake of conciseness._
_Bausch Health is committed to equal employment opportunity and complies with equal employment opportunity laws in effect wherever it operates._

Job Description
Insight Global is looking for a Data Scientist for a 6 month contract with a high possibility of extensions. A successful candidate must be located in Saskatoon and available to work on-site 5 days a week. This individual will contribute to the development, deployment, and sustainment of robust and precise optical tracker and sensor fusion solutions. This role will focus on integrating data with RGB cameras, Lidar, and Radar, with the goal to drive operational efficiencies and intelligent automation in mining and industrial environments.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- Bachelor's or higher degree in Computer Science, Electrical/Control Engineering, Robotics, or related field.
- Proven hands-on experience in computer vision, sensor fusion, and machine learning applications.
- Strong programming skills (Python, C++, or similar) and familiarity with data processing pipelines for multi-sensor environments.
- Experience working in industrial or mining settings is highly desirable.
- Ability to work in a fast-paced, collaborative environment and communicate complex technical concepts clearly. null
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

_When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans _(Dental, medical, life insurance, disability, and more)_
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
+ Collaborate with cross-functional teams to identify high-impact business challenges that can be addressed through AI and machine learning.
+ Design, develop, and implement machine learning models tailored to specific operational use cases.
+ Automate data extraction, transformation, and loading processes for ML pipelines.
+ Deploy and integrate new and existing models into enterprise systems, including SAP S/4HANA.
+ Monitor, test, and refine models to ensure accuracy, robustness, and measurable business value.
+ Maintain detailed documentation, standards, and best practices for AI/ML solutions.
+ Engage with business stakeholders to gather requirements, incorporate feedback, and ensure solutions align with strategic goals.
+ Stay current on advancements in ML/AI and proactively introduce relevant innovations to the organization.
**How to thrive in this role? Skills, knowledge & experience :**
+ 5+ years of direct experience in analytics, data science, or software development with a focus on AI/ML.
+ Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related technical field.
+ Strong expertise in designing and implementing ML models, including time series forecasting, predictive analytics, image recognition, and NLP.
+ Proven experience with cloud platforms-Microsoft Azure preferred-particularly tools like Azure Data Factory, Azure Databricks, and Azure Machine Learning.
+ Advanced programming skills in Python and PySpark; experience with modular software design and software architecture.
+ Familiarity with containerization tools such as Docker and experience with packaging and deploying software in production environments.
+ Proficiency with Agile methodologies, Azure DevOps, and application lifecycle management tools.
+ Knowledge of scripting in Linux or PowerShell.
+ Strong analytical thinking, problem-solving ability, and decision-making initiative.
+ Excellent verbal and written communication skills with the ability to present technical concepts to business stakeholders.
**Now that you can see yourself in this role, apply and join the Bombardier Team!**
Please note: You don't need _all_ the skills, knowledge, and experience listed to apply for this position. We're not looking for the perfect candidate, we're looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Data Scientist
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift**
**Employee Status** Regular
**Requisition** 8148 Data Scientist

_When applicable, Bombardier promotes flexible and hybrid work policies._
**Why join us?**
At Bombardier, we design, build and maintain the world's peak-performing aircraft for the world's most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.
Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.
**Bombardier's Benefits Program**
With our employees' well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
+ Insurance plans ( _Dental, medical, life insurance, disability, and more_ )
+ Competitive base salary
+ Retirement savings plan
+ Employee Assistance Program
+ Tele Health Program
**What are your contributions to the team?**
+ Collect and preprocess data from various sources such as SAP, Salesforces, and the Connected Aircraft Smart Link Plus box (IoT) of our Global and Challenger fleet
+ Perform exploratory data analysis and feature engineering to extract new insights and generate business value, ready to be deployed at scale for maximum impact
+ Develop, train, validate, and monitor machine learning, statistical, and AI models to propel our Digital Portfolio of customer-facing applications as well as increase the productivity of our Aftermarket tools and processes
+ Plan and implement the Aftermarket Data Science & AI roadmap together with product managers, product owners, business analysts, and UI/UX designers
+ Work in close collaboration with data and ML engineers, ensuring the models are productionized successfully and yield the desired outcome
+ Collaborate with aircraft system engineers, technical specialists, field service representatives, and our Customer Response Center to develop a state-of-the-art Predictive Maintenance solution comprised of a Condition Monitoring, Diagnostics, and Prognostics modules
+ Conduct literature reviews and competitive intelligence on AI-powered digital products and services tailored to the business aviation industry
+ Communicate findings to AI and non-AI practitioners alike, bridging the gap between technology and business
**How to thrive in this role?**
+ You have a master's degree or Ph.D. in Computer Science, Engineering, or related field
+ You have experience developing AI/ML solutions in a business context with proven benefits
+ You have experience deploying big data analytics in the cloud (AWS, Azure, Google Cloud)
+ You have experience supporting enterprise-grade, fully productionized ML pipelines
+ You have experience with time-series data, particularly telemetry (sensor-based) data
+ You have experience with predictive maintenance and aircraft systems (asset)
+ You master Python and its ecosystem of machine learning libraries
+ You are result-driven, open-minded, curious, autonomous, and enthusiastic
+ You are a team player with above-average communication skills in English and French
**Now that you can see yourself in this role, apply and join the Bombardier Team!**
Please note: You don't need _all_ the skills, knowledge, and experience listed to apply for this position. We're not looking for the perfect candidate, we're looking for great talent and passionate individuals.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability or other applicable legally protected characteristics to apply.
**Job** Data Scientist
**Primary Location** Administrative Centre (CA)
**Organization** Aerospace Canada
**Shift**
**Employee Status** Regular
**Requisition** 6554 Data Scientist

Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Cytiva, one of Danaher's ( 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact.
You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us - working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System ( which makes everything possible.
The NANM Cheminformatics Scientist is responsible for developing and running a high throughput screening and data analytics tool. The scientist will have experience with wetlab assays, analytical processes, data processing and analytics, and machine learning.
This position reports to the Director of Engineering and is part of the Nucleic Acids and Nanomedicine Business Unit located in Vancouver, B.C. and will be an on-site role.
What you will do:
+ Create an mRNA drug delivery development platform that supports complex in-vivo and gene editing applications
+ Work with the team to develop an application specific data management and processing system
+ Analyze data and make recommendations using statistical methods, machine learning and where applicable, an appropriate form of AI
+ Work with an automation team to constantly improve our data collection system
Who you are:
+ Bachelor's or Master's degree in Engineering or Science and 8+ years experience (or equivalent) or a PhD in Engineering or Science and 4+ years of experience (or equivalent)
+ Machine learning and AI application development experience in chemistry
+ Direct wetlab and lab management experience running assays and using analytical equipment
+ Strong experience with data analytics, design of experiments and real-world model validation
+ Strong programming knowledge and experience
It would be a plus if you also possess previous experience in:
+ Experience with statistical data analysis tools (such as R, Python), cloud computing (such as AWS, Azure), AI/ML dev platforms (such as Snowflakes, DataBricks, Sagemaker) and data visualization app development (such as R Shiny or Shiny for Python)
+ Structured root cause analysis
+ Biological or Bioanalytical background
Cytiva, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info ( .
The salary range for this role is $110k-140k CAD. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
This job is also eligible for bonus/incentive pay.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and RPP contributions to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. #LI-SL21
Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit .
Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.
We will ensure that individuals with disabilities are provided reasonable accommodation to access our website, and as applicable participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at or to request accommodation.

Job Description

Job Description

We are looking for a Junior to Intermediate Data Scientist for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global enterprise company with a product that you've likely used.

The role will be responsible for delivering high quality data science models, and the logistical challenges around improving a profitable service. You'll also be working on a diverse range of supply and demand balancing problems.

You Have:

• A Masters or PHD in a quantitative field (i.e. Physics, Computer Science, Stats)
• 1-2 years' experience developing solutions and working with Python
• Confident extracting and manipulating data from SQL and noSQL stores
• Previous experience with Machine Learning, Data Science and solving problems at scale

Perks:

• Competitive Salary
• Individual performance bonus
• Health and dental benefits
• 3 weeks’ vacation
• Relocation Package

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

Job Description

Job Description

We are looking for an experienced Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver

You Have:

• 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse)
• Strong analytical skills working with unstructured data sets
• Knowledge of relational (PostgreSQL, MySQL, etc.) and non-relational databases (including MongoDB)
• Strong experience with big data services like Spark, Kafka, Rabbit
• Experience working with Startups are considered a bonus
• Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

• Remote + flexible work schedule
• North of six figures salary + Equity + Health Spending Account (it's competitive)
• Amazing opportunity for career progression to lead
• Amazing mentorship (seriously)
• Plenty of vacay

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)

* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.