Data Scientist, Consultant (Utilities)

What You Will Do

• Perform data analysis and develop analytical solutions using tools such as 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 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, helping clients gain confidence in data-driven decisions.

What You Will Need

• 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 and developing analytical solutions from concept through implementation.

What Would Be Nice To Have

• 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, 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.

Pay

• The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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