Data Scientist 12-18+ Months contract role 100 % Remote Domain: Must have electic vehicle domain expertise. Must have Phd. About the Company Our client is looking for a Data Scientist with experience in delivering data science products end-to-end. In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance triple bottom line of People, Planet, and Prosperity. About the Role In this role, the successful candidates will be uniquely positioned at the forefront of utility industry analytics, having the opportunity to advance triple bottom line of People, Planet, and Prosperity. Responsibilities • Design and develop production-quality scientific algorithms in Python to extract patterns of customer energy consumption, as well as other customers’ characteristics and attributes. • Develop spatio-temporal algorithms to predict adoption of Electric Vehicles by customers. • Perform in-depth validation of our algorithms that is driven by business and technical requirements. • Perform deep root-cause analysis, EDA, and error analysis of the ML models. • Collaborate with members of your team and with domain experts (e.g., Power Distribution, Grid Planning, Clean Energy Transportation) to understand practical implications of your model, to collect business requirements and to deliver results to business partners. • Communicate technical information, their implications and applications to peers, various business partners, and strategic leaders across the company. Qualifications • Ph.D. in Engineering, Computer Science, Physics, Econometrics or Economics, Mathematics, Applied Sciences, Statistics, or other highly quantitative discipline. Required Skills • Demonstrated knowledge of and abilities with data science standards and processes (model building and evaluation, optimization, feature engineering, etc.) along with best practices to implement them. • Experience with spatio-temporal statistics, geospatial data analysis, and machine learning techniques for time series with large datasets. • 2+ years of experience writing software to extract features from time series data or large-scale datasets. • Proficiency in programming languages such as Python and/or R. • Experience designing, developing, and maintaining scientific code that runs at scale. • Strong understanding of applied statistics and probability. Preferred Skills • Experience with handling large datasets and cloud computing platforms (e.g. AWS, Azure, GCP, or other enterprise level analytics platforms). • Experience turning business needs into technical requirements, and structuring developments, analysis and validation plans to meet requirements. • Relevant industry experience (electric or gas utility, EV charging infrastructure, Vehicle-Grid integration, distributed energy resources, analytics consulting, etc). • Excellent problem solving and communication skills. APPLY NOW!