Data Scientist, Consultant (Utilities)
Job Family:
Data Science ConsultingTravel Required:
Up to 10%Clearance Required:
NoneWhat You Will Do
- Perform data analysis and support the development of analytical solutions using tools such as Python, R, SQL, Databricks, Power BI, GIS, and other modern analytics platforms.
- Work with project team members and subject matter experts to understand client business needs, analytical objectives, and technical requirements.
- Support the design, development, testing, and implementation of data, analytics, and AI-enabled solutions for utility clients.
- Develop and maintain analytical workflows, datasets, dashboards, visualizations, and other decision-support tools.
- Analyze data, identify trends and insights, and contribute to the development of findings and recommendations for technical and non-technical audiences.
- Contribute to high-quality client deliverables while collaborating with multidisciplinary project teams.
What You Will Need
- Bachelor’s degree from an accredited university.
- Minimum 0-2 years of overall work experience.
- Experience in applying data analytics, business intelligence, data science, or related quantitative methods is preferred.
- Exposure to one or more analytical or data management tools such as Python, SQL, R, Databricks, Power BI, Tableau, GIS, or similar technologies.
- Experience analyzing datasets and using quantitative methods to develop insights, solve problems, or support decision-making.
- Strong analytical and problem-solving skills, with attention to detail and a willingness to learn new tools, technologies, and business domains.
- US Citizenship is contractually required.
What Would Be Nice To Have
- Experience or demonstrated interest in electric, gas, water, or other energy-sector organizations and challenges.
- Strong written and verbal communication skills, including the ability to explain analytical concepts and findings clearly.
- Ability to work effectively on multiple assignments while collaborating with project teams and stakeholders.
- Exposure to cloud-based analytics platforms, data engineering, AI, machine learning, geospatial analytics, or optimization techniques.
- Experience developing dashboards, visualizations, analytical models, data products, or decision-support tools through professional, academic, or personal projects.
- Relevant coursework, certifications, or advanced education in analytics, cloud technologies, data engineering, or related fields.
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.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Required Skills
Required Languages
🇬🇧 English