Data Scientist, Consultant

Guidehouse; New York (NY); On-site; USD 89,000 - 148,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Sick Time & Holidays

Discretionary incentive bonus

Parental Leave

401(k) Retirement Plan

Life Insurance

Tuition Reimbursement

Professional Development

Mobility Stipend

Job summary

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 building analytical workflows and communicating recommendations to varied 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

Qualifications

• Bachelor's degree in Data Science, Analytics, Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, or a related quantitative discipline.
• 1+ years of professional experience applying data analytics, BI, data science, or related quantitative techniques.
• 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.

Responsibilities

• Perform data analysis and build analytical solutions using Python, R, Snowflake, SQL, Databricks, Power BI, GIS, Tableau, 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.

Skills

Communication skills

Problem solving

Team collaboration

Stakeholder engagement

Education

Bachelor's degree in a quantitative field

Tools

Python

SQL

R

Databricks

Power BI

Tableau

GIS

Job description

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.