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Data Scientist II (Hybrid - US)

Boston, Massachusetts, United States; Chicago, Illinois, United States; New York, New York, United States; Oakland, California, United States; Orange, California, United States; Pacific Northwest

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. And we believe that market-based programs can be a powerful force to deliver large-scale energy, carbon, and water-use savings. Since 1995, we’ve harnessed that power to offer 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. In this role, 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 in this role will support the application of mathematical models, statistics, data visualization, and data engineering to answer important questions. Examples of such questions 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 principles of 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. Once the contract is awarded to us, we’ll be ready to move forward quickly; however, if it does not come through, we will not be able to proceed with the position. Confirmation of the contract is expected by late September, with the expectation that the selected candidate will start in October.

This is a hybrid work opportunity.  At ES, 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 the following states: Alaska, Delaware, Kentucky, Mississippi, Montana, Nebraska, North Dakota, and Wyoming.

 

Responsibilities include but are not limited to: 

  • 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

 

Minimum Qualifications: 

  • 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

 

Preferred qualifications:

  • 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 to commensurate with experience with the pay band of  $110k - $135k/Annually 

 

Compensation is commensurate with experience and 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 the importance of authentic interactions and equitable opportunities. We base our candidate selection on one’s own skills, knowledge, and experience. 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. This practice supports our commitment to create a transparent and equitable space where skills, knowledge and experience skills can truly shine.

Equal Opportunity Employer

Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment of any type. We afford equal employment opportunities to employees and applicants without regard to 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. Energy Solutions conforms to the spirit as well as to the letter of all applicable laws and regulations.

Office Locations and a Remote Workforce

Energy Solutions operates as a predominantly remote workforce with offices in  six different 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 the following states: 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 accommodation@energy-solution.com.

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