Data Scientist, Consultant (Utilities)

Job Family : Data Science Consulting Travel Required : Up to 10% Clearance Required : None

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.

#LI-DNI

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. What We Offer : Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include: 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

About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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