Lead Data Scientist

LG Energy Solution Vertech, Inc.•Westborough, MA

2d•$150,000 - $180,000•Hybrid

About The Position

LG Energy Solution Vertech is seeking a Lead Data Scientist to join its AI & Data Science team, focusing on Battery Intelligence applications. The role leads research, design, and deployment of battery state-estimation algorithms and applies advanced AI/ML and statistical techniques to battery data. This hands-on position helps improve the commercial value, availability, and performance of the company’s grid-scale battery energy storage fleet. The position is based in Westborough, Massachusetts, with a hybrid arrangement; remote work will be considered.

Requirements

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 of algorithm-development teams.
Strong hands-on Python development skills, including production-grade software development.
Deep understanding of supervised, semi-supervised, and unsupervised machine learning, deep-learning algorithms, and statistical modeling.
Proficiency working with large-scale datasets using tools such as Pandas, NumPy, scikit-learn, and SQL.
Proficiency with deep-learning frameworks such as TensorFlow and PyTorch.
Experience with cloud platforms such as AWS, Azure, GCP, Databricks, or Snowflake.
Proficiency using Linux and Git for version control.
Proficiency with MLOps and CI/CD pipelines and integrating ML models into DevOps workflows.
Excellent written and verbal communication skills and ability to collaborate across global teams.
Must be legally authorized to work in the U.S. without employer sponsorship.
Ability to mentor junior team members and contribute to technical roadmap discussions.

Nice To Haves

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

Responsibilities

Drive end-to-end development of AI-driven battery state-estimation algorithms, including State of Energy, State of Charge, State of Power, and State of Health, from research and prototyping through production deployment.
Apply understanding of BESS from individual cell-level physics to system-level topology.
Design, build, and deploy AI/ML state-estimation models that predict energy availability for BESS trading strategies.
Collaborate with product, energy market analysts, engineering, and DevOps to define requirements, integrate models into production pipelines, and deliver scalable, cloud-integrated data products.
Stay current with state-of-the-art Gen-AI, AI/ML, and deep-learning techniques published in literature.
Lead the transition of AI/ML models from research to production, ensuring robust, scalable, and efficient software development practices.
Serve as an AI/ML leader and mentor to junior team members and contribute to the AI/Data Science team’s strategic roadmap.