Data Scientist (12-month contract)

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 diverse team of 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.

THE OPPORTUNITY: 

We are currently seeking a Data Scientist for a 12-month term to join our Data Analytics team. Reporting to the Supervisor, Advanced Analytics, this role will be responsible for developing models, conducting exploratory analysis, and solving operational challenges that support data-driven decision-making across the organization. The successful candidate will bring strong analytical and technical expertise, paired with a deep curiosity for uncovering insights and driving value through data. This role will play a key part in advancing ARC’s analytics capabilities while fostering collaboration and supporting the growth of a data-informed culture.

RESPONSIBILITIES:

Economic Impact & Predictive Modeling

• Leverage statistical techniques, machine learning models, and predictive analytics to transform large datasets into actionable insights that drive capital efficiency, optimize well design, and inform strategic decisions
• Develop simulations and forecasting tools that quantify economic outcomes across a range of design and operational scenarios

Pipeline Development & Operational Efficiency 

• Design and maintain scalable data pipelines that support real-time and batch processing, enabling rapid iteration and deployment of economic models
• Integrate cost regressors and depletion indices to support budget forecasting, long-term development planning, and scenario analysis for strategic planning

Prototype to Production 

• Rapidly prototype and refine experimental models based on evolving business needs and feedback loops
• Collaborate with data engineers to transition validated pipelines and models into production environments, ensuring reliability, scalability, and performance
• Support ongoing monitoring and optimization of production systems to maintain economic relevance and strategic alignment

Business Enablement & Decision Support 

• Partner with SMEs, engineers, and analysts to ensure data readiness and model feasibility for strategic initiatives
• Develop dashboards, interfaces, and visualizations that communicate complex economic insights to non-technical stakeholders, enabling data-driven decision-making
• Promote adoption of analytical tools through change management and training, embedding data science into core business processes

Innovation & Continuous Improvement 

• Champion innovation by exploring emerging technologies and methodologies that enhance economic modeling and strategic forecasting
• Document model workflows, data sources, and solution architectures to support transparency, reproducibility, and knowledge sharing across teams

WHAT YOU WILL BRING TO ARC:  

• A bachelor's or master's degree in data science, computer science, statistics, engineering, or a related field
• A minimum of 3 years of experience in data, with a strong understanding of analytical methodologies and economics
• Proficiency in Python and SQL, with experience using visualization tools to communicate insights effectively
• Hands-on experience with Databricks to support collaborative analytics workflows
• Strong communication skills and a demonstrated ability to collaborate with cross-functional teams 

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 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 talent acquisition process.