Data Scientist, Consultant (Utilities)

Guidehouse•Boston, MA

3d•$89,000 - $148,000

About The Position

The Data Scientist, Consultant (Utilities) performs data analysis and develops analytical solutions to address complex client business challenges. The role uses tools such as Python, R, Snowflake, SQL, Databricks, Power BI, GIS, and other modern analytics platforms. The consultant partners with utility clients and Guidehouse subject matter experts to define business objectives, analytical approaches, technical requirements, and actionable recommendations. They design, develop, test, and implement data, analytics, and AI-enabled solutions, translating business needs into scalable analytical workflows, data products, dashboards, visualizations, and decision-support tools. The role also presents findings and recommendations to technical and non-technical audiences to support confident, data-driven client decisions. The position may involve travel up to 10%.

Requirements

Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline.
At least one year of professional experience applying data analytics, business intelligence, data science, or related quantitative techniques to solve complex business problems.
Experience with analytical and data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or similar technologies.
Experience working with large and complex datasets and developing analytical solutions from concept through implementation.

Nice To Haves

Experience supporting electric, gas, water, or other energy-sector organizations.
Strong communication and consulting skills, including the ability to translate technical concepts into business insights and recommendations.
Ability to manage multiple priorities while collaborating effectively with clients, stakeholders, and multidisciplinary teams.
Familiarity with utility business functions such as customer programs, DERs, electrification, asset management, operations, and regulatory planning.
Experience with cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques.
Experience developing dashboards, data products, or decision-support applications for business users.
Experience working in a consulting or client-facing environment.
Master's degree or relevant certifications in analytics, cloud technologies, or data engineering.

Responsibilities

Perform data analysis and develop analytical solutions using modern analytics tools and platforms to address complex client business challenges.
Partner with utility clients and Guidehouse subject matter experts to define business objectives, analytical approaches, technical requirements, and actionable recommendations.
Design, develop, test, and implement data, analytics, and AI-enabled solutions that support utility clients' business objectives.
Translate business needs into scalable analytical workflows, data products, dashboards, visualizations, and decision-support tools.
Present findings and recommendations to technical and non-technical audiences to support data-driven decisions.