Principal Data Scientist

LGES-Vertech is seeking a highly motivated Principal 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., * 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.

• Master’s degree in Computer Science, Data Science, Electrical Engineering, Physics or a related quantitative discipline.
• 10+ 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, SQL.
• Proficiency with deep learning frameworks like TensorFlow, PyTorch.
• Experience with cloud platforms: AWS, Azure, GCP, Databricks, or Snowflake.
• Proficiency in using Linux, and Git for version control.
• Proficiency with 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.

Preferred:

• 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.
• Ability to mentor junior team members and contribute to technical roadmap discussions.

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.

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