Data Scientist (1157354)

The Judge Group; United States; Remote; USD 80,000 - 150,000; Full time

Benefits offered by this job

Healthcare

401k

Job summary

The Judge Group is seeking a Jr/Mid level Data Scientist for a 100% remote role supporting utilities clients. The position requires US citizenship or a green card and offers healthcare, 401k, and more.

As a data scientist you will analyze data using Python, SQL, R, and BI tools, partner with clients to define objectives, and design scalable analytics and AI-enabled solutions to drive data-driven decisions.

Qualifications

• Bachelor's degree in a quantitative field.
• 1+ year experience applying data analytics or data science.
• Experience with Python, SQL, R, Databricks, Power BI, Tableau, GIS or similar.
• Experience with large datasets and analytics from concept to implementation.

Responsibilities

• Perform data analysis and develop analytical solutions for utility clients.
• Collaborate with clients and subject matter experts to define objectives and requirements.
• Design and implement data analytics and AI-enabled solutions.
• Translate business needs into scalable workflows, dashboards, and data products.
• Present findings to technical and non-technical audiences.

Job description

Location: Remote, null, USA

Salary: $80,000.00 USD Annually - $150,000.00 USD Annually

Description

Company: Large consulting firm supporting Utilities/Electric clients

Position: Jr/Mid levelData Scientist

Location: 100% REMOTE

MUST BE US CITIZEN OR GREEN CARD HOLDER

Benefits: Healthcare, 401k etc

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 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.

Medical, dental, and vision insurance are available to qualified candidates who meet eligibility requirements.