Data Scientist II (Hybrid - US)

OverviewInterested 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 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.ResponsibilitiesDevelop, maintain, and run robust analytical models and dashboards for internal and external clientsBuild Python-based ETL pipelines in collaboration with other data scientists and project managersApply machine learning and regular expressions for fuzzy string matching and data reconciliationOwn the quality and accuracy of data analyses, working with data engineers and other team members to develop quality assurance systems and flag data errorsCommunicate and collect information from other staff, subcontractors, and clientsTranslate quantitative findings into clear, actionable insights for non-technical audiencesMentor and guide other members of the data analysis/engineering teamMinimum QualificationsBachelor/'s degree in a quantitative field (e.g., Statistics, Engineering, Computer Science, Economics) or equivalent experience5+ years of relevant work experience3+ years of hands-on Python experience, including pandas, NumPy, and scikit-learnProven professional experience developing dashboards using BI tools, preferably TableauExperience building analytical models using a high-level programming languageKnowledgeable about the applicability and limitations of metrics commonly used in descriptive and inferential statisticsCapable of working independently and collaborating effectively with technical as well as non-technical project managersAble to navigate multiple interrelated and simultaneous projectsAdapt at communicating technical concepts to non-technical audiencesStrong critical thinking and evidence-based reasoning skillsPreferred QualificationsDegree in Statistics, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experienceProficiency with TableauKnowledge of basic data warehousing principles1+ years of experience with SQL, with demonstrated proficiencyExperienced in selecting and implementing machine learning techniques where appropriateDomain 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 equityEnthusiastic about combating climate change and learning about clean energy and policyTeam player who thrives in collaborative environmentsHumility, empathy, and strong listening skillsCompensationCompensation 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).Additional InformationHybrid work: 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.Geography: 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.Important NoticesAI Use: We believe in authentic interactions and equitable opportunities. 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 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.Office Locations and 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. Not accepting applications from Delaware, Kentucky, Mississippi, Montana, Nebraska, North Dakota, and Wyoming.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 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 Notice: Privacy notice for job applicants. #J-18808-Ljbffr

Created: 2025-09-17