Lead Data Scientist

LG Energy Solution Vertech, Inc.

Westborough (MA)

Hybrid

USD 150,000 - 180,000

Full time

9 days ago

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Job summary

LG Energy Solution Vertech, Inc. is seeking a Lead Data Scientist in Westborough, MA, to drive battery intelligence through AI/ML state estimation, bringing models from research into production and supporting value creation for a BESS fleet.

Responsibilities include leading model development, collaborating with product and engineering teams, and mentoring junior data scientists while advancing the AI/Data Science roadmap in a hybrid work environment.

Qualifications

10–15 years of AI/ML, data science or battery algorithms experience with leadership.
Master’s degree in CS/DS/EE/Physics or related field.
Proficiency in Python and production-grade software development.

Responsibilities

Own end-to-end development of AI-driven battery state estimation algorithms from R&D to production.
Apply deep knowledge of BESS physics and system topology.
Design, build, and deploy AI/ML state estimation models for energy availability.

Skills

AI/ML leadership

Python development

Communication

Mentoring

Education

Master’s degree in Computer Science/Data Science/EE/Physics

Tools

Python

Pandas

NumPy

scikit-learn

SQL

TensorFlow

PyTorch

AWS

Azure

GCP

Databricks

Snowflake

Linux

Git

MLOps

CI/CD

Job description

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