Senior Data Scientist

Role Description

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.

• Drive the end-to-end development of battery state estimation algorithms, such as State of Energy/Charge/Power/Health, 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.

Qualifications

• 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.

Requirements

• 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.