Data Scientist Student

Key Skills

Java Programming, Python Programming, Framework, SQL, Agile methodologies, Machine learning techniques, Data science techniques, Data Visualization, PySpark, Databricks, Mathematics

Job Description

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 an Agile framework, with 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.

Qualifications

Academic:

• Currently pursuing a degree in machine learning, computer science, statistics, mathematics, physics, engineering, economics, operations research or related quantitative field
• Experience in advanced analytics and data science solving academic and or business problems
• To be considered for employment, your most recent unofficial transcript(s) must be submitted with your application

Other:

• 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 
• 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 for domain knowledge in energy and mining industrial processes

Work schedule: Full time position

Start date: January 2023

Work term: 12 or 18 months preferred

Location: Calgary, AB

Who we are

A leading member of Canada’s energy industry, Imperial offers exciting opportunities across our upstream, downstream and chemical, and corporate divisions. We are committed to high standards, applying technology and innovation and working with communities and our Indigenous neighbours to meet rising energy demands in a safe, reliable and environmentally sound manner.

Imperial is committed to supporting persons with disabilities throughout the recruitment process. We will work with qualified applicants to provide reasonable accommodation upon request at Imperial.recruiting@esso.ca

Other considerations

• For applicants selected to be interviewed, pre-employment background screening will be required.
• We thank all those who apply; however, only those candidates selected for interviews will be contacted.

Eligibility to work in Canada

All applicants who receive an offer of employment must be eligible to work in Canada on a regular full-time basis without restrictions on their start date. Proof of eligibility shall be in the form of a Canadian birth certificate, Canadian passport, Canadian citizenship certificate, Canadian certificate of permanent residence, Canadian open work permit or receipt from Immigration Canada of an application for a post-graduate work permit. Proof of eligibility must be current and valid (not expired, cancelled or voided). Proof of eligibility will be required if an offer of employment is made. Failure to provide proof of eligibility at least six (6) weeks prior to the start date may result in the offer of employment being rescinded.

Application deadline:

• September 18, 2022