Data Scientist

Job DescriptionJob Description

Data Scientist

Data Science & Artificial Intelligence Department

Location: Remote

Role Type: Contract

About Our Client

Our client is a leading utility company working at the forefront of the clean energy transition. With a long-standing history of service and innovation, the company serves millions of customers and is committed to creating a sustainable energy future. Their core values focus on safety, reliability, equity, and environmental stewardship. They operate across a wide geographic area and are known for deploying data science and AI solutions to tackle some of the industry's most complex challenges.

Job Description

We are seeking a Data Scientist with experience delivering end-to-end data science solutions. This individual will join a dynamic "Delivery" team in the Data Science & Artificial Intelligence Department. The team works cross-functionally across various high-priority business areas to uncover insights from large, disparate datasets and guide data-driven decision-making.

The ideal candidate will develop production-quality algorithms, design predictive models, and collaborate closely with business stakeholders and domain experts to validate solutions and communicate findings. This is a unique opportunity to shape the future of the electric grid by applying machine learning to critical projects involving energy consumption, electric vehicle adoption, and more.

Duties and Responsibilities

• Design and develop production-level algorithms in Python for customer energy behavior analysis.
• Create spatio-temporal models to forecast electric vehicle adoption.
• Conduct exploratory data analysis, root cause investigation, and error diagnostics.
• Validate machine learning models against technical and business criteria.
• Translate business needs into structured analytics problems.
• Collaborate with cross-functional teams including Power Distribution, Grid Planning, and Clean Energy.
• Present technical results and business implications to stakeholders and leadership.

Required Experience/Skills

• Ph.D. in Engineering, Computer Science, Statistics, Applied Sciences, or a related field.
• Experience with spatio-temporal statistics and large time series datasets.
• Strong programming proficiency in Python and/or R.
• Demonstrated ability to build and validate machine learning models.
• Strong understanding of applied statistics, probability, and data science practices.
• 2+ years of experience in scientific software development at scale.

Nice-to-Haves

• Experience with cloud platforms (AWS, Azure, GCP).
• Industry experience in utilities, EV infrastructure, DERs, or related analytics fields.
• Strong communication and problem-solving skills.
• Background in converting business requirements into technical implementation plans.

Education

Ph.D. in Engineering, Computer Science, Physics, Econometrics, Economics, Mathematics, Statistics, or similar quantitative discipline.

Pay & Benefits Summary

• Health benefits
• Time off allowance
• Reimbursement for travel

Call-to-Action

Ready to make a difference in the clean energy future? Apply now to join a top-tier data science team and help shape tomorrow's power grid.

Data Science | Python | Machine Learning | Energy | Utilities | EV Forecasting | Spatio-Temporal Analysis | AI Solutions