Job Specifications
At Imperial, we work every day to responsibly develop Canada’s energy resources – applying technology and innovation to supply affordable, accessible and reliable energy while reducing emissions in support of a net-zero future. Imperial recognizes the important role we can play by advancing climate solutions within our operations and by providing lower life-cycle emission products to our customers. This effort is powered by a unique and diverse workforce fueled by a pride in what we do and what we stand for.
The success of our upstream, downstream and chemical, and corporate divisions is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
Imperial honours diverse backgrounds so we can be a place where people can bring their full selves to work, no matter their identity, race, gender, sexual orientation, age, or ability.
At Imperial, we want you to come for the position and stay for the career. As an integrated company, we are uniquely positioned to offer you a wide range of career prospects and growth opportunities through the course of your career with us. We invite you to bring your ideas and help create sustainable solutions that improve quality of life and meet society’s evolving needs.
Come be part of the Upstream Department at Imperial which has more than 140 year history in Canada and a workforce of 5,500+ total employees. Our offices are located in Calgary, AB.
What Role Will You Play In Our Team
We are seeking a Data Scientist for Imperial’s Digital Accelerator's data science group who can solve business problems by leveraging machine learning, optimization and other analytical techniques in a multi-disciplinary team of engineers, strategic partners and subject domain experts
The Upstream Digital Accelerator (UDA) leverages the power of digital technologies to solve highly complex problems across Imperials' oil and gas operations spanning conventional, mining, SAGD and other thermal recovery methods.
Operating within multi-disciplinary teams, ideas from the business are quickly actioned and converted to usable products. To this end the UDA offers a fast-paced, exciting environment and access to a diverse set of problems.
With access to massive data sets, immense computational power and challenging, previously unsolved problems, the UDA is an ideal place for a Data Scientist to push the boundaries of what they know and make real contributions. Furthermore, the UDA encourages its members to showcase their work to the data science and engineering communities through publications, conferences and seminars.
What You Will Do
Work as a member of the Imperial Digital Accelerator with a fusion team of highly talented Data Scientists, developers and opportunity managers, to unlock substantial value from operations
Work closely with the business teams to understand their goals, business problems and assist in identifying potential analytical and data science solutions and feasibility
Support the full range of problem-solving activities including data wrangling, ETL pipeline development, rapid scoping level / exploratory data analysis, proof of concept solutions as well as end-to-end execution plans for scaling proven models and deploying into an operational environment
Ensure your models and analytics are tested with the end users and iterate to deployable adoptable solutions
Communicate key metrics and results to stakeholders, as you progress through delivery leveraging visualization tools as appropriate for effective story telling
Continue model / tool support in operational phases, including model performance monitoring and retraining
Keep up to date with the latest advances in the data science field and actively participate in data science communities
Conduct peer reviews with the data science team to ensure high-quality products
Help mature ML Ops framework and adoption
Work closely with the platform and data infrastructure team to ensure data science needs are properly considered in architecture and data pipelines are robust
This posting is for an existing vacancy
About You
Skills & Qualifications:
Experience in advanced analytics and data science solving academic and or business problems
Degree in machine learning, computer science, statistics, mathematics, physics, engineering, economics, operations research or related quantitative field
Broad array of ML and AI skills (supervised, unsupervised, reinforcement learning and mathematical optimization)
Strong Python programming skills, additional benefit for Pyspark and Databricks experience
Preferred Qualifications/Experience:
Ability to explain data science solutions and concepts to the end users
Strong mentorship skills, and enthusiasm for sharing knowledge
Ability to effectively iterate and communicate results to stakeholders and team members using appropriate visualization and communication tools
Preference
About the Company
After more than a century, Imperial continues to be an industry leader in applying technology and innovation to responsibly develop Canada’s energy resources. As the country’s largest petroleum refiner, a major producer of crude oil and natural gas, a key petrochemical producer and a leading fuels marketer from coast to coast, our company remains committed to high standards across all areas of our business.
Our people are fundamental to our success. As an integrated company, we are able to offer exciting opportunities throu...
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