Note: The job is a remote job and is open to candidates in USA. LG Energy Solution Vertech, Inc. is a full-service energy storage system supplier and integrator. They are seeking a highly motivated Senior Data Scientist to join their AI & Data Science team, where the candidate will drive the research, design, and deployment of Battery State Estimation algorithms, influencing data science's role in enhancing the value and performance of their Battery Energy Storage System fleet.
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
Skills
- 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
- 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
Benefits
- Competitive salaries
- Generous benefits
- Flexible working hours
Company Overview