Lead Data Scientist

LG Energy Solution Vertech Inc; Westborough (MA); Hybrid; USD 150,000 - 180,000; Full time

Benefits offered by this job

Full health benefits

Job summary

LG Energy Solution Vertech, Inc. is seeking a Lead Data Scientist to drive AI-driven battery state estimation in a hybrid Westborough, MA environment.

You will lead model development from research to production, leveraging deep learning and state estimation techniques to optimize Battery Energy Storage System performance. You will mentor junior team members, collaborate with product and engineering teams, and stay ahead of Gen‑AI/ML advances while delivering cloud-enabled data products that

Qualifications

• Master’s degree in a quantitative field.
• 10–15 years in AI/ML, data science, or battery/state estimation with leadership experience.
• Strong ML, statistical modeling, and deep learning knowledge.
• Experience handling large-scale datasets with Python data stack.
• Proficiency with TensorFlow and PyTorch.
• Experience with cloud platforms and MLOps/CI–CD pipelines.
• Excellent written and verbal communication; able to mentor juniors.

Responsibilities

• Drive end-to-end development of AI-driven battery state estimation algorithms from R&D to production.
• Understand BESS physics from cell to system level.
• Build and deploy AI/ML state estimation models for energy availability.
• Collaborate with cross-functional teams to productionize models and deliver cloud-enabled data products.
• Stay current with Gen‑AI/ML/Deep Learning advances and publishable work.
• Lead transition of models from research to production and mentor team members.

Skills

AI/ML leadership

Pandas

NumPy

scikit-learn

SQL

TensorFlow

PyTorch

Linux

Git

MLOps

CI/CD

DevOps

Communication

Education

Master’s degree in Computer Science / Data Science / Electrical Engineering or related

Tools

AWS

Azure

GCP

Databricks

Snowflake

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Lead Data Scientist

Westborough, MA, US

6 days ago Requisition ID: 1029

Salary Range: $150,000.00 To $180,000.00 Annually

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.

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.
• 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.