Data Scientist II (Hybrid - US)
Interested in joining a growing company where you will work with talented colleagues, enhance a supportive and energetic culture, and be part of the climate solution? At Energy Solutions, we focus on the big impacts. We believe market-based programs can deliver large-scale energy, carbon, and water-use savings. Since 1995, we offer proven, performance-based solutions for utility, government, and institutional customers.
We are seeking a full-time Data Scientist II to join our Energy Efficiency team to support our market transformation programs, with a focus on building electrification. You will work closely with a team of data scientists, data engineers, and technical project managers and collaborate with engineers and program managers.
The Data Scientist II will support the application of mathematical models, statistics, data visualization, and data engineering to answer important questions. Examples include: the energy, environmental, economic, and health impacts of proposed regulations; predicting which households will switch to electric equipment; evaluating the cost impact of heat pump clothes dryers when controlling for confounding variables; and measuring the share of heat pump sales to households in Disadvantaged Community census tracts within a 95% confidence interval. Modeling will include statistical analysis as well as bottom-up, stock-rollover models rooted in economic and engineering analysis.
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 QA 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
- 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 in descriptive and inferential statistics
- Ability to work independently and collaborate effectively with technical and non-technical project managers
- Able to navigate multiple interrelated and simultaneous projects
- Excellent at communicating technical concepts to non-technical audiences
- Strong critical thinking and evidence-based reasoning skills
- Degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field, or equivalent practical experience
- Proficiency with Tableau
- Knowledge of basic data warehousing principles
- 1+ years of experience with SQL, demonstrated proficiency
- Experience selecting and implementing machine learning techniques where appropriate
- Domain knowledge in economics, engineering, public policy, 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
- Enthusiastic about combating climate change and learning about clean energy and policy
- Team player who thrives in collaborative environments
- Humility, empathy, and strong listening skills
Please note: A technical test will be required during the interview process.
Compensation to commensurate with experience with a pay band of $110k - $135k annually. Compensation includes a generous retirement package and an excellent benefits package including medical, dental, and vision insurance, other pre-tax contribution plans, and an Employee Stock Ownership Plan (ESOP).
Work Arrangement This is a hybrid work opportunity. Onsite at one of our offices a minimum of 1 day/week (currently Wednesdays) with flexibility for the remainder of the days. ES has offices in Oakland, CA; Portland, OR; Chicago, IL; and Boston, MA.
Locations and Applicants We are not accepting applications from candidates residing in Alaska, Delaware, Kentucky, Mississippi, Montana, Nebraska, North Dakota, and Wyoming. Energy Solutions operates as a predominantly remote workforce with offices in six locations.
Equal Opportunity Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We provide equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristics protected by law.
Background Check 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. Energy Solutions is an equal opportunity employer.
Reasonable Accommodations Energy Solutions is committed to providing access and reasonable accommodations for individuals with disabilities. For accommodations, please email accommodation@energy-solution.com.
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Remote working/work at home options are available for this role.