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 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 will support the application of mathematical models, statistics, data visualization, and data engineering to answer important questions. Examples include evaluating impacts of proposed regulations, predicting households likely to switch to electric equipment, assessing costs of heat pump dryers controlling for confounding variables, and measuring heat pump sales distribution across disadvantaged communities. 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 projects, including multi-year initiatives and shorter-term assignments. A typical week consists of team meetings, working sessions, asynchronous collaboration, and individual work.Contract and StartThis position is contingent upon Energy Solutions securing the consulting engagement it’s tied to. Confirmation of the contract is expected by late September, with the expectation that the selected candidate will start in October.Location and EligibilityThis is a hybrid work opportunity. Onsite at one of our offices a minimum of 1 day/week (currently Wednesdays) with flexibility for the remainder. 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.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, or related quantitative field, or equivalent practical experienceProficiency with TableauKnowledge of basic data warehousing principles1+ years of experience with SQL, with demonstrated proficiencyExperience 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 is commensurate with experience and in 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 and Equal OpportunityAt Energy Solutions we believe in authentic interactions and equitable opportunities. AI tools (including Generative AI) or other means to generate or assist with responses during interviews are strictly prohibited to ensure a transparent and equitable interview process.Energy Solutions is an affirmative action-equal opportunity employer and prohibits discrimination and harassment. 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.Office Locations and Background ChecksEnergy Solutions operates as a predominantly remote workforce with offices in six locations. Employees within 40 miles of an office (except New York) will be assigned to that location; in-office attendance requirements may vary by team. A background check, drug screen, and authorization to work in the U.S. are prerequisites of employment.Reasonable AccommodationsEnergy Solutions is committed to providing access and reasonable accommodation for individuals with disabilities. If you require accommodations in completing this application or participating in the process, please email . #J-18808-Ljbffr

Created: 2025-09-17