Senior Data Scientist

Suncor Energy; Calgary; On-site; CAD 100,000 - 130,000; Full time

Job summary

An energy provider in Calgary is looking for a Senior Data Scientist to lead the design of data-driven models and mentor junior staff. This position requires a Master’s or Ph.D. and 7+ years in the energy industry. The successful candidate will collaborate across teams, establish data science standards, and stay informed on industry trends to enhance operational efficiency. The role offers a regular work week with occasional travel. Competitive compensation packages are typically available.

Qualifications

• 7+ years of experience in the energy industry focused on data science.
• Experience in developing predictive models.
• Strong understanding of programming and analytical skills.

Responsibilities

• Lead design and implementation of data-driven models for operational optimization.
• Mentor junior data scientists and foster learning.
• Collaborate with teams to create data science solutions.
• Establish best practices in data science and AI applications.
• Analyze datasets for actionable insights.
• Stay updated on industry trends in data science.

Skills

Python

Data Science methodologies

Machine learning frameworks

Cloud computing technologies

Analytical skills

Communication skills

Leadership skills

Education

Master’s or Ph.D. in Data Science, Engineering, Computer Science, Business, Math, Statistics

Tools

Databricks

Job description

Overview

At Suncor, we produce and provide energy.

When you join Suncor, you become part of a company that has built a solid foundation for both business and employee success. We are a place where talented people thrive. As part of our team, you play a vital role in delivering energy we all rely on, and you'll make a meaningful impact in the communities where we live and work.

We are seeking a Senior Data Scientist to join our dynamic team. In this pivotal role, you will mentor junior data scientists, establish data science standard, and develop advanced models and tools utilizing AI and machine learning. Your work will directly contribute to primary objectives of our oil sands operational efficiency, cost reduction, and enhanced production.

Qualifications

• Master’s or Ph.D. in Data Science, Engineering, Computer Science, Business, Math, Statistics, or a related field.
• 7 + years of experience working in the energy industry, with a focus on data science.
• Proficiency in programming languages such as Python and experience with machine learning frameworks.
• Understanding of cloud-based computing technologies, including Databricks.
• Strong analytical skills and a proven track record of developing predictive models.
• Excellent communication and leadership skills.

Key Responsibilities

• Lead the design and implementation of data-driven models and tools that optimize operational processes and enhance production capabilities.
• Mentor and guide junior data scientists and students, fostering a culture of continuous learning and innovation.
• Collaborate with cross-functional teams to identify business challenges and translate them into data science solutions.
• Establish and uphold best practices and standards in data science methodologies and AI applications.
• Analyze large datasets to extract actionable insights and drive strategic decision-making.
• Stay abreast of industry trends and emerging technologies to ensure our data science practices remain at the forefront.

Location and other key details

• You will work out of our Calgary head office, located in the Suncor Energy Centre at 150 – 6th Ave S.W.
• Hours of work are a regular 40‑hour work week, Monday to Friday, with the potential for extended hours during payroll close, cutovers, or critical issue resolution.
• This position may require occasional travel to sites for stakeholder engagement and training.

Think we are a fit? Apply now!

Suncor is committed to providing equal opportunities for employment and building an inclusive, results-oriented and high-performance culture where all members of our team feel safe, valued and respected.