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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
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