Remote Data Scientist II - Energy Analytics & Insights

E Source; United States; On-site; USD 85,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Company-paid life insurance

Disability insurance

Flexible spending plans (FSA)

Job summary

E Source is seeking a Data Scientist to shape how energy utilities leverage data science to inform customer programs and strategic decisions. The role emphasizes econometric and machine learning methods applied to utility industry challenges, with clear communication to non-technical audiences.

The position is 100% remote in the US or Canada, offering a salary range of $85,000–$130,000 USD plus annual bonus.

Qualifications

• Hold an advanced degree in economics, statistics, data science, quantitative social science, or another quantitative field.
• Have three or more years of experience in a data science or analytics-related role.
• Have expertise with R, Python, SQL, or other programming languages to merge, clean, and model large and complex data sets.

Responsibilities

• Turn data into insight, analyzing why things happened and predicting what could happen in alternative scenarios.
• Develop, validate, and apply econometric and machine learning models to answer client research questions.
• Conduct data exploration and evaluate data sufficiency for analysis and modeling.
• Describe complex data and modeling concepts in writing and presentation formats to a wide audience, using data to inform critical client decisions.
• Exhibit critical thinking and curiosity, including considering how your technical work fits within the larger context of the project, the client, and our industry.
• Conduct quality control of your work, apply effective practices to minimize errors, and participate in the peer code review process to ensure high-quality deliverables.

Skills

R

Python

SQL

Education

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

Tools

Databricks

Spark

Job description

E Source is seeking a Data Scientist to shape how energy utilities leverage data science to inform customer programs and strategic decisions. The role emphasizes econometric and machine learning methods applied to utility industry challenges, with clear communication to non-technical audiences.

The position is 100% remote in the US or Canada, offering a salary range of $85,000–$130,000 USD plus annual bonus.