Remote Data Scientist II – Energy & Utilities Analytics

E Source; Northern (KY); Hybrid; USD 85,000 - 130,000; Full time

Benefits offered by this job

Medical/dental/vision insurance

Life insurance

Disability insurance

Flexible time off

401(k) match

Job summary

E Source, a research, data/analytics, and technology focused professional services firm serving utilities in the US and Canada, is seeking a Data Scientist to deploy econometric, statistical, and predictive methods for energy utility client programs. The role emphasizes clear communication to non-technical audiences and rigorous model development.

You will turn data into insight, validate models, and describe complex concepts to diverse stakeholders, while maintaining high-quality deliverables

Qualifications

• Three+ years of experience in a data science or analytics role.
• Advanced degree in economics, statistics, data science, or a quantitative field.
• Proficiency with R, Python, SQL or other programming languages to merge, clean, and model large 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

Data science

Econometrics

Statistical modeling

R

Python

SQL

Communication

Education

Advanced degree (Economics/Statistics)

Tools

Git

Databricks

Spark

Job description

E Source, a research, data/analytics, and technology focused professional services firm serving utilities in the US and Canada, is seeking a Data Scientist to deploy econometric, statistical, and predictive methods for energy utility client programs. The role emphasizes clear communication to non-technical audiences and rigorous model development.

You will turn data into insight, validate models, and describe complex concepts to diverse stakeholders, while maintaining high-quality deliverables