Job Description
We are currently seeking a full-time Data Scientist II to join our Policy and Ratings team. Our Policy & Ratings Team supports the development of building codes, appliance standards, and other policies. The Data Scientist II will also be part of the data team supporting California's flagship TECH Clean California program, which makes it easier for households to gain access to the benefits of electric heat pumps for space and water heating. In this role, you will work with closely with a team of data scientists, research analysts, and technical project managers and will collaborate with policy analysts, engineers, economists, and program managers. You will have a broad impact on state, national, and international energy markets through our work for major utilities, local and state governments, non-governmental organizations, and other national leaders in energy efficiency and clean energy policy. This unique opportunity, paired with Energy Solutions' mission-driven approach, creates a perfect environment for individuals who want to apply their skills and energy towards an expeditious transition to a sustainable, equitable future.
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 program rebates have gone to households living in Disadvantaged Community census tracts?" 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 different projects, including some multi-year projects and some shorter-term projects. A typical week consists of a mixture of team meetings, working sessions with other team members, asynchronous collaboration, and individual contributor work.
Responsibilities include but are not limited to:
Develop, maintain, run, and own robust analytical models and dashboards for internal and external clients
Translate quantitative data into reports and presentations for non-technical audiences, clearly communicating your analysis of the data
Own the quality and accuracy of data analyses, work with data engineers and other team members to develop quality assurance systems and flag data errors
Build ETL pipelines in collaboration with other data scientists and project managers
Work with regular expressions and/or machine learning models on fuzzy string matching (matching model numbers between sales data and qualified product lists)
Mentor and provide guidance to other members of the data analysis/engineering team
Communicate and collect information from other staff, subcontractors, and clients
Minimum qualifications:
A minimum of 5 years of work experience
Strong critical thinking and evidence-based reasoning skills
Proven professional experience developing analytical dashboards using BI tools, preferably Tableau
A minimum of 3 years of experience using Python
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 working effectively with technical as well as non-technical project managers
Able to navigate multiple interrelated projects
Adept at communicating technical concepts to non-technical audiences
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 preferred
Strong communication and presentation skills
Proficiency with Tableau
Knowledge of basic data warehousing principles
Proficiency with SQL or other database querying language, at least a year of SQL experience
Experienced with selecting and implementing regression and classification techniques where appropriate
Domain knowledge on topics such as: economics, engineering, public policy, regulations, building codes, building science, incentive programs, demand-side management programs, energy efficiency, distributed energy resources, electrification, space and water heating, and energy equity
Enthusiastic about combating climate change, learning new data science skills, and learning about topics related to clean energy and policy
Team player who thrives in collaborative environments
Cultural humility, empathy, and strong listening skills
Compensation to commensurate with experience with the pay band of is $110k - $135/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).
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, ****** 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.
💡 Quick Summary
Seeking a career-building opportunity? The Data Scientist II (Remote - US) position is now open for candidates interested in the Government Job Alert sector. This role in Acalanes Ridge offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Government Job Alert is a plus.
