Lead Data Scientist

The Lead Data Scientist will drive battery intelligence efforts at LG Energy Solution Vertech Inc, focusing on research, design, and deployment of Battery State Estimation algorithms using advanced AI/ML and statistical methods. This is a hands-on role that leads the movement of models from R&D into production to support value creation for a BESS fleet, based in Westborough, MA (hybrid).

Key Responsibilities

• Own end-to-end development of AI-driven battery state estimation algorithms (State of Energy/Charge/Power/Health), from initial R&D and prototyping through production deployment.
• Apply deep knowledge of BESS, spanning individual cell-level physics and system-level topology.
• Design, build, and deploy AI/ML state estimation models to predict energy availability, supporting optimal BESS trading strategies.
• Collaborate with cross-functional teams including product, energy market analysts, engineering, and DevOps to define requirements, integrate models into production pipelines, and deliver scalable, cloud-integrated data products.
• Monitor and incorporate state-of-the-art Gen-AI/AI/ML/Deep Learning methods from current literature.
• Lead the transition of AI/ML models from research to production, with an emphasis on robust, scalable, and efficient software development practices.
• Act as an AI/ML leader and mentor for junior team members and contribute to the AI/Data Science team roadmap.

Required Qualifications

• Master’s degree in computer science, Data Science, Electrical Engineering, Physics, or a related quantitative discipline.
• 10–15 years of relevant industry experience in AI/ML, data science, battery algorithms, or advanced state estimation, including demonstrated technical leadership for algorithm-development teams.
• Strong hands-on Python development with production-grade software development practices.
• Deep understanding of machine learning (supervised, semi-supervised, unsupervised), deep learning algorithms, and statistical modeling.
• Proficiency working with large-scale datasets using Pandas, NumPy, scikit-learn, and SQL.
• Proficiency with deep learning frameworks including TensorFlow and PyTorch.
• Experience with cloud platforms such as AWS, Azure, GCP, Databricks, or Snowflake.
• Proficiency using Linux and Git for version control.
• Proficiency in MLOps and CI/CD pipelines, including integrating ML models into DevOps workflows.
• Excellent written and verbal communication skills, with the ability to collaborate across global teams.
• Legal authorization to work in the U.S. without employer sponsorship.
• Ability to mentor junior team members and participate in technical roadmap discussions.

Preferred Qualifications

• Experience with BESS (Battery Energy Storage System) and Battery Management Systems (BMS).
• Understanding of different Li-ion battery cell chemistries, such as NCM and LFP.

Technologies

• Python
• Pandas
• NumPy
• scikit-learn
• SQL
• TensorFlow
• PyTorch
• AWS
• Azure
• GCP
• Databricks
• Snowflake
• Linux
• Git
• MLOps
• CI/CD

Compensation and Location

Location: Westborough, MA (hybrid)

Compensation: USD 150,000 - 180,000 per year

Minimum Experience: 10 years

Benefits

• 100% employer-paid premiums for medical, dental, vision, life, and disability insurance