Lead Data Scientist: Battery AI & State Estimation

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

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