Senior Data Science Analyst Full-time Job

Job Post End Date: 04/03/2025

 

 

About this opportunity:

Reporting to Manager, Market Analytics, the successful candidate will serve as the domain expert in the area of data science. Main responsibilities include administering designated Linux server, maintaining PostgreSQL databases, maintaining and monitoring existing data pipelines, and Dashboards built in R, Python; leading data science projects that leverage data transformation to support the automation and streamlining of projects to increase efficiencies and scalability. This position collaborates with the Market Analytics team members that covers various commodities; crude oil, refined products, natural gas, and NGLs.

 

What you’ll do:

• Build, manage and analyze automated data scrapes that support data collection, integration and visualization, dashboards, predictive analytics, and data mining

• Ideate alternative procedures and processes to discover data relationships that drive new insights

• Leverage data science tools and techniques in analyzing large datasets that will enable development of custom models and algorithms to uncover insights, trends, and patterns in the data that can be used to support decision making

• Evaluation of analytics and machine learning technologies for use in the business and communicate findings to key team members through reports and presentations

• Build continuous integration, continuous development, and constant deployment pipeline (CI/CD pipeline)

• Review, verify and validate the software code developed by using troubleshooting techniques and perform detailed and insightful code reviews to help maintain a high standard of quality control

• Collaborate and support the trading desk and the market analysts on the team to develop risk and reward analysis of trading optimization opportunities

• Strong database management skills: PostgreSQL, MongoDB, Databricks

• Strong data management workflow skills, including Git version control and collaboration, R package management

 

Who you are:

Our ideal candidate will have the following minimum requirements:

• Legally authorized to work in Canada

• 8+ years of relevant work experience

• Post-Secondary degree in a numeric field (Computer Science, Engineering, Math, Statistics)

• Advanced SQL expertise, proficiency in R and or Python and knowledge of Linux server management

• Familiarity with Machine Learning methods

• Experience with dashboarding/visualization (R shiny, Power BI or similar)

• Experience with CI/CD solutions (Gitlab), experience delivering software using Containers (Docker)

 

We acknowledge the value of transferrable skills and may consider equivalent combinations of experience and education should you not meet a specific requirement.

 

Note: The application deadline for this position is 11:59 PM MT April 2nd, 2025.

We operate in Canada, the United States and the Asia Pacific region. Our operations include oil sands projects in northern Alberta, thermal and conventional crude oil and natural gas projects across Western Canada, crude oil production offshore Newfoundland and Labrador and natural gas and liquids production offshore China and Indonesia. Cenovus's downstream operations include upgrading, refining and marketing operations in Canada and the United States.