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Energy Solutions is seeking a Data Scientist II to support market transformation programs, with a focus on building electrification, by applying mathematical models, statistics, data visualization, and data engineering to answer key questions about energy, environmental, economic, and health impacts, as well as predicting household behavior and analyzing cost factors.

Requirements

• 3+ years of hands-on Python experience, including pandas, NumPy, and scikit-learn
• Proven professional experience developing dashboards using BI tools, preferably Tableau
• Experience building analytical models using a high-level programming language
• Knowledgeable about the applicability and limitations of metrics commonly used in descriptive and inferential statistics
• Proficiency with Tableau
• 1+ years of experience with SQL, with demonstrated proficiency
• Experienced in selecting and implementing machine learning techniques where appropriate

Responsibilities

• Develop, maintain, and run robust analytical models and dashboards for internal and external clients
• Build Python-based ETL pipelines in collaboration with other data scientists and project managers
• Apply machine learning and regular expressions for fuzzy string matching and data reconciliation
• Own the quality and accuracy of data analyses, working with data engineers and other team members to develop quality assurance systems and flag data errors
• Translate quantitative findings into clear, actionable insights for non-technical audiences
• Mentor and guide other members of the data analysis/engineering team

Other

• Bachelor’s degree in a quantitative field (e.g., Statistics, Engineering, Computer Science, Economics) or equivalent experience
• 5+ years of relevant work experience
• Capable of working independently and collaborating effectively with technical as well as non-technical project managers
• Able to navigate multiple interrelated and simultaneous projects
• Adapt at communicating technical concepts to non-technical audiences