Senior Data Scientist

ARC has had an exciting growth story driven by the contributions of our people, principled business strategy and high-performance culture. We are a Canadian energy company with a strong track record of operational and financial performance. Today, we are the largest pure-play Montney producer, and Canada’s third-largest natural gas producer and largest producer of condensate.

In alignment with our values, we are proud to produce Canadian energy safely and efficiently. Producing low-cost, reliable energy strengthens our resilience in the evolving global energy system, and enables ARC to create value for our people, shareholders, stakeholders and communities.

We have a long-term view and are committed to best-in-class performance in every aspect of our business. Following our guiding principles has shaped the company we are today and will underpin our success in the future. Through innovation, teamwork and a commitment to operational excellence, our people drive our company’s success. From the office to the field, our team of talented professionals work hard each day to safely execute our business and create positive and lasting impacts for our stakeholders.

At ARC, we know a diverse workforce drives better decision-making and stronger performance. We are building a workplace that creates a sense of belonging, promotes diversity of thought, and represents the experience and backgrounds of the communities where we live and work. To learn more about our commitment to diversity, equity and inclusion, please go to our website Diversity, Equity and Inclusion - ARC Resources.

The Opportunity

We are currently seeking a Senior Data Scientist to join our dynamic Data Analytics team. Reporting to the Supervisor, Advanced Analytics, the successful candidate will play an integral part in developing advanced analytics, predictive models, and data-driven solutions that inform strategic decision-making across all facets of our oil & gas business.

Responsibilities

Data Analysis & Modeling

• Identify, collect, and transform large datasets into actionable insights using statistical techniques, machine learning models, and predictive analytics
• Develop and maintain data pipelines to ensure efficient data ingestion, processing, and storage
  
  

Solution Development & Deployment

• Design, implement, and iterate on predictive models and algorithms to optimize operational performance, reduce costs, and support business growth
• Collaborate with cross-functional teams to deploy machine learning solutions and automate processes where possible
  
  

Business Collaboration

• Build dashboards, visualizations, interfaces, and reports that effectively communicate complex analytical results to non-technical stakeholders
• Translate business challenges into data-driven solutions, proactively identifying new opportunities for innovation and efficiency
• Support delivery and adoption of new and existing tools and workflows
  
  

Collaboration & Best Practices

• Work within an agile framework to rapidly prototype, test, and refine solutions
• Promote best practices in data science, including code quality, version control, MLOps, and collaboration tools
• Stay current with the latest analytics, AI/ML, and data engineering trends to continually improve data science capabilities at ARC
  
  

What You Will Bring To Arc

Working with cutting edge infrastructure and tools including Databricks, Github Copilot, Azure IOT, and many more, you will solve challenging business problems requiring the application of advanced data science across Engineering, Drilling, Completions, Geosciences, Marketing, and Environmental. In addition, the successful candidate will possess the following qualifications:

• A bachelor's or master's degree in computer science, data science, statistics, engineering, or a related field
• A minimum of 7 years of experience working with large datasets, predictive models, dashboards, and visualizations to develop data-driven solutions
• Prior experience in the oil and gas industry is a major an asset
• Proven track record of building and deploying machine learning models, such as regression, classification, time series, or deep learning
• Proficiency in programming languages such as Python, R, or SQL, with exposure to cloud-based data platforms
• Strong problem-solving skills, with an ability to tackle complex analytical challenges and deliver tangible business value
• Excellent communication skills, enabling you to translate technical findings into practical, actionable insights
• Hands-on experience with big data technologies, data pipelines, and real-time/batch processing frameworks is an asset (e.g. Databricks)
  
  

Rewarding Opportunity

• An opportunity to be part of delivering responsible energy by developing and growing your career with us
• Working collaboratively with, and learning from some of the most talented and experienced people in our industry
• A market-competitive and pay-for-performance total compensation plan, including eligibility to participate in our bonus and long-term incentive programs
• Top-tier benefits, wellness/healthcare spending accounts and savings plans
• A culture of caring and high performance
• Focus on health and well-being
• An environment where all individuals are treated fairly and respectfully, have equal access to opportunities and resources, feel a sense of belonging, and can contribute fully to the organization’s success
• Meaningful work that makes a difference in the Canadian energy industry
  
  

We thank you for your interest in ARC, however, only those candidates selected for an interview will be contacted. Accessibility accommodation for applicants is available upon request during the recruitment process.