Data Scientist

E Source Companies LLC; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

E Source Companies LLC is seeking a Data Scientist II or III to work remotely on energy utility client studies. You will analyze data to generate insights, build econometric and machine learning models, and translate complex findings for non-technical audiences.

The role emphasizes hands-on data exploration, rigorous modeling, and clear communication of results to support client programs and strategic decisions across diverse stakeholders.

Qualifications

• Advanced degree or equivalent industry experience in a quantitative field.
• 3+ years in data science/analytics role.
• Proficiency in R, Python, SQL, or other data manipulation languages.

Responsibilities

• Analyze data to provide insights and predict scenarios for client programs.
• Develop and validate econometric and machine learning models for client questions.
• Conduct data exploration and assess data sufficiency for modeling.

Skills

Data analysis

Python

R

SQL

Modeling

Git

Spark/Databricks

Education

Advanced degree in economics, statistics, data science, or related quantitative field

Tools

Databricks

Spark

Git

Job description

Seeking a full-time Data Scientist II or III to work remotely, who will analyze data to provide insights, develop econometric and machine learning models for client research, and communicate complex concepts to diverse audiences in support of energy utility clients.

Key responsibilities

• Analyze data to provide insights and predict alternative scenarios for client programs
• Develop and validate econometric and machine learning models to address client research questions
• Conduct data exploration and evaluate data sufficiency for modeling and analysis

Required qualifications

• Advanced degree in economics, statistics, data science, or a related quantitative field, or a bachelor's degree with relevant industry experience
• Three or more years of experience in a data science or analytics role
• Proficiency in R, Python, SQL, or other programming languages for data manipulation and modeling
• Experience with version control software, such as Git
• Familiarity with Databricks or Spark and coursework in the energy industry is a plus