Lead Data Scientist

Lead Data Scientist (Battery Intelligence)

Company Overview

LG Energy Solution Vertech, Inc. a subsidiary of LG Energy Solution is a leading provider of grid-scale integrated energy storage systems, delivering safe, reliable, and high‑performance solutions to customers worldwide. Powered by our proprietary AEROS® energy operating system, we use advanced monitoring and controls to help customers optimize system performance and maximize the value of their energy storage assets.

At LGES Vertech, you’ll be part of a collaborative, team‑oriented organization that aspires to be humble, hungry, and smart, working together to transform the energy landscape and create a more sustainable future. We value innovation, accountability, and growth, and offer competitive compensation along with comprehensive benefits, including 100% employer‑paid premiums for medical, dental, vision, life, and disability insurance.

For more information about LGESVT, please visit www.lgensol-vt.com. 

Position Overview

LGES-Vertech is seeking a highly motivated Lead Data Scientist to join our AI & Data Science team for Battery Intelligence applications. This role will be a key driver in the research, design, and deployment of our Battery State Estimation algorithms. You will act as a subject matter expert, applying advanced AI/ML and statistical techniques to battery data.

This is a high-impact, hands-on role for a technically deep and creative problem-solver. You will directly influence how data science enhances the commercial value, availability, and performance of our BESS(Battery Energy Storage System) fleet.

Location: Westborough, MA – Hybrid (Remote will be considered)

Key Responsibilities

• Drive the end-to-end development of AI-driven battery state estimation algorithms, such as State of Energy/Charge/Power/Health, all the way from initial R&D and prototyping to production deployment
• Utilize a deep understanding of BESS, from individual cell-level physics to system-level topology.
• Design, build, and deploy AI/ML State estimation models for predicting energy availability, critical for optimal BESS trading strategies.
• Work closely 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.
• Stay current with state-of-the-art Gen-AI/AI/ML/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 the AI/ML leader and mentor for junior team members, contributing to the strategic roadmap for the AI/Data Science team.

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 of algorithm-development teams.
• Strong hands-on Python development skills, including production-grade software development.
• Deep understanding of ML (supervised, semi-supervised, unsupervised) and 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 like TensorFlow and PyTorch.
• Experience with cloud platforms: AWS, Azure, GCP, Databricks, or Snowflake.
• Proficiency in 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.

Preferred:

• 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.