Senior Data Scientist (Remote)

LG Energy Solution Michigan, Inc.•Westborough, MA

11h•$120,000 - $170,000•Remote

About The Position

LG Energy Solution Vertech, Inc. (LGES Vertech) is a full-service energy storage system supplier and integrator. Using our core strengths of expert service to our customers, unparalleled safety, and excellence in manufacturing, we bring standardized, fully integrated energy storage systems to a rapidly growing worldwide market. Our systems address our customers' needs to reduce capital equipment and installation costs while enhancing system-level performance and reliability using automated monitoring systems and analytics across the battery, power conditioning, and auxiliary systems. Our AEROS® energy operating system is the engine of innovation to provide advanced control functions, allowing our customers to maximize the value of their energy storage assets. Our service capabilities include advanced monitoring and analytics, scheduled maintenance, augmentation, and auxiliary system upgrades. The combination of excellence in battery technology and production, coupled with nearly two decades of energy storage integration, makes LGES Vertech a supplier and integrator in the power and energy markets. LGES Vertech empowers and expects its team members to assume responsibility and make good decisions while maintaining a team environment that fosters collaboration and innovation. Our diverse and growing team enjoys competitive salaries, generous benefits, and flexible working hours. For more information about LGESVT, please visit www.lgensol-vt.com [http://www.lgensol-vt.com]. LGES-Vertech is seeking a highly motivated Senior Data Scientist to join our AI & Data Science team. 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 ML/Data Science and statistical techniques to estimate the state of the BESS assets. 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.

Requirements

Master’s degree in Computer Science, Data Science, Electrical Engineering, Physics or a related quantitative discipline.
5+ years of experience in data science or applied ML, with at least 3 years industry experience.
Strong Python development skills, including production-grade software practices and modular codebases.
Deep understanding of machine learning (supervised and unsupervised), deep learning, and statistical modeling.
Hands-on experience working with large-scale, imperfect datasets and tools such as Polars, Pandas, NumPy, scikit-learn, SQL.
Experience with deep learning frameworks like TensorFlow, PyTorch.
Familiarity with cloud platforms: AWS, Azure, GCP, Databricks, or Snowflake.
Comfortable in Linux environments and with version control systems like Git.
Proficiency in using Jira for Agile project management.
Excellent written and verbal communication skills and ability to collaborate across diverse global teams.
Must be legally authorized to work in the U.S. without employer sponsorship.

Nice To Haves

Ph.D. in Computer Science, Data Science, Electrical Engineering, Physics or a related quantitative discipline.
Experience with BESS topology and Battery Management Systems (BMS).
Understanding of different Li-ion battery cell chemistries, such as NCM, LFP.
Familiarity with MLOps tools for model deployment, monitoring, and lifecycle management.
Familiarity with CI/CD pipelines and integrating ML models into DevOps workflows.
Ability to mentor junior team members and contribute to technical roadmap discussions.

Responsibilities

Drive the end-to-end development of 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 and state estimation metrics.
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 abreast of state-of-the-art 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.
Leverage expertise in efficiently handling large-scale, noisy battery data.
Serve as a technical resource and mentor for junior team members, contributing to the strategic technical roadmap for the AI/Data Science team.