Senior Data Scientist, Data Science

Quantitative fields include computer science, data science, statistics, mathematics, engineering, information systems, or closely related disciplines. Relevant experience includes data science, data engineering, data analytics. Education and professional experience meeting one of the following:

• Master’s degree in quantitative field + 2 years of relevant experience,


• Bachelor’s degree in quantitative field + 3 years of relevant experience,


•  or Bachelor’s degree in non-quantitative field + 5 years of relevant experience

• Experience working with relational databases and cloud data warehouses including data modelling and performance optimization. Experience with Snowflake preferred, but relevant experience with other tools helpful (SQL, Oracle, PostgreSQL,etc.)


• Strong proficiency in SQL and Python including developing data transformations, analytical workflows, and automated processes


• Knowledge in developing, maintaining, and orchestrating data pipelines, including data ingestion and transformation. Experience with Airflow and dbt preferred


• Exposure to modern data platforms and development practices including version control, automated deployments, and CI/CD workflows. Git, Azure, Terraform, GitHub Actions experience preferred


• Experience working in a Hybrid-Cloud environment, including deploying, managing, and connecting cloud-based services. Experience in Linux and bash are helpful.


• Proficiency in integrating, cleaning, and transforming data from disparate sources into reliable customer facing datasets


• Excellent communication skills including the ability to explain technical concepts and analytics findings to non-technical stakeholders


• Ability to design and develop scalable, reusable, and maintainable data solutions supporting multiple projects and multiple stakeholders


• Relevant energy industry experience or experience in a regulated setting preferred