Data Scientist II (Hybrid - US) - Energy Solutions - USA : Job Details

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 have offered proven, performance-based solutions for our utility, government, and institutional customers.

We are currently 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 will 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: What would be the energy, environmental, economic, and health impacts of this proposed regulation?How can we predict which households will be most likely to switch to electric equipment?How much more expensive are heat pump clothes dryers when you control for confounding variables?What percentage of heat pump sales have gone to households living 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.

As with all consultants at Energy Solutions, the Data Scientist II will work on an evolving portfolio of various projects, including some multi-year initiatives and shorter-term projects. A typical week consists of a mixture of team meetings, working sessions with other team members, asynchronous collaboration, and individual work.

This position is contingent upon Energy Solutions securing the consulting engagement it's tied to. If the contract is awarded, we will move forward quickly; if not, we will not be able to proceed. Confirmation of the contract is expected by late September, with the selected candidate starting in October.

This is a hybrid work opportunity. At Energy Solutions, this means working 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. At this time, we are not accepting applications from candidates residing in Alaska, Delaware, Kentucky, Mississippi, Montana, Nebraska, North Dakota, or Wyoming.

• 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

• 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

Please note: A technical test will be required during the interview process.

• Degree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience
• Proficiency with Tableau
• Knowledge of basic data warehousing principles
• 1+ years of experience with SQL, with demonstrated proficiency
• Experienced in selecting and implementing machine learning techniques where appropriate
• 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
• 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

Compensation is commensurate with experience with the pay band of $110k - $135k annually. Compensation includes a generous retirement package. Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP).

AI Use

At Energy Solutions we believe in authentic interactions and equitable opportunities. To ensure the integrity and fairness of our interview process, the use of artificial intelligence (AI) tools (including Generative AI) or other means to generate or assist with responses during interviews is strictly prohibited.

Equal Opportunity Employer

Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We provide equal employment opportunities to employees and applicants 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.

Office Locations and a Remote Workforce

Energy Solutions operates as a predominantly remote workforce with offices in six locations. Employees who reside within 40 miles of an office (except New York) will be assigned to that location, though in-office attendance requirements may vary by team. At this time, we are not accepting applications from candidates residing in Delaware, Kentucky, Mississippi, Montana, Nebraska, North Dakota, and Wyoming.

Background Check Information

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 accommodation for individuals with disabilities. If you require accommodations in completing this application, interviewing, and/or completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected].

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