Data Scientist, Consultant

Guidehouse is hiring a Data Scientist, Consultant to support utility clients by turning business questions into scalable data, analytics, and AI-enabled solutions. The role is based in New York, NY (onsite) and involves both building analytical workflows and communicating recommendations to varied technical and non-technical stakeholders.

As part of the Data Science Consulting job family, you will use modern analytics tools to analyze complex datasets, design decision-support assets, and collaborate with utility clients and Guidehouse subject matter experts to align objectives, technical requirements, and deliverables.

Key Responsibilities

• Perform data analysis and build analytical solutions using Python, R, Snowflake, SQL, Databricks, Power BI, GIS, and other modern analytics 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 client 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 decision-making.

Required Qualifications

• Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline.
• ONE (1) or more years 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, developing analytical solutions from concept through implementation.

Technologies

• Python, R, Snowflake, SQL, Databricks, Power BI, GIS, Tableau
• AI-enabled and Machine learning

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

Nice to Have

• Experience supporting electric, gas, water, or other energy-sector organizations.
• Strong communication and consulting skills, including translating 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, 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.

Travel required: Up to 10%.

Clearance required: None.

Annual salary range: USD 89,000 - 148,000 per yearly.

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package reflecting its commitment to building a diverse and supportive workplace.