Data Scientist, Customer Strategy and Analytics
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PythonSQLTableau
Salary
💰 $110,000 - $135,000 per year
Job Level
Mid-LevelSenior
Tech Stack
ETLNumpyPandasPythonScikit-LearnSQLTableau
About the role
- 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
- Communicate and collect information from other staff, subcontractors, and clients
- Translate quantitative findings into clear, actionable insights for non-technical audiences
- Mentor and guide other members of the data analysis/engineering team
- Support the application of mathematical models, statistics, data visualization, and data engineering to answer important questions about energy and electrification programs
- Model energy, environmental, economic, and health impacts; predict household adoption of electric equipment; and perform stock-rollover and bottom-up modeling
- Work on an evolving portfolio of multi-year and shorter-term projects; participate in team meetings, working sessions, asynchronous collaboration, and individual work
Requirements
- Bachelor’s degree in a quantitative field (e.g., Statistics, Engineering, Computer Science, Economics) or equivalent experience
- 5+ years of relevant work experience
- 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
- 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
- Strong critical thinking and evidence-based reasoning skills
- A technical test will be required during the interview process
- Preferred: Degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field, or equivalent practical experience
- Preferred: Proficiency with Tableau
- Preferred: Knowledge of basic data warehousing principles
- Preferred: 1+ years of experience with SQL, with demonstrated proficiency
- Preferred: Experienced in selecting and implementing machine learning techniques where appropriate
- Preferred: Domain knowledge on topics such as economics, engineering, public policy, the electricity grid, regulations, building codes, building science, incentive programs, demand-side management, energy efficiency, distributed energy resources, electrification, space and water heating, and energy equity
- Preferred: Enthusiastic about combating climate change and learning about clean energy and policy
- Preferred: Team player who thrives in collaborative environments
- Preferred: Humility, empathy, and strong listening skills
- Pre-employment: Information will be requested to perform the compulsory background check; a drug screen and authorization to work in the U.S. indefinitely are preconditions of employment
- Note: At this time, not accepting applications from candidates residing in Alaska, Delaware, Kentucky, Mississippi, Montana, Nebraska, North Dakota, and Wyoming
