Description

You will deliver end-to-end data science products focused on utility industry analytics and energy consumption patterns.

Responsibilities

• Design and develop production-quality scientific algorithms in Python to extract customer energy consumption patterns and attributes.
• Develop spatio-temporal algorithms to predict Electric Vehicle adoption.
• Perform in-depth validation, EDA, root-cause analysis, and error analysis of ML models based on business and technical requirements.
• Collaborate with domain experts in Power Distribution, Grid Planning, and Clean Energy Transportation to translate business needs into technical results.
• Communicate technical implications and model applications to peers and strategic leaders.

Required Skills

• Ph.D. in Engineering, Computer Science, Physics, Econometrics, Economics, Mathematics, Applied Sciences, Statistics, or a highly quantitative discipline.
• 5+ years of experience in data science and software development.
• Proficiency in Python and/or R.
• Experience writing software to extract features from time series data or large-scale datasets.
• Demonstrated knowledge of model building, evaluation, optimization, and feature engineering.
• Experience with spatio-temporal statistics, geospatial data analysis, and machine learning for time series.
• Experience designing, developing, and maintaining scientific code that runs at scale.
• Strong understanding of applied statistics and probability.
• Experience with AWS, Azure, or GCP.

Preferred Skills

• Experience in electric or gas utilities, EV charging infrastructure, or vehicle-grid integration.
• Ability to turn business needs into technical requirements and structured validation plans.

Key Skills

Education

Any Gradute