Senior Data Scientist

LG Energy Solution Vertech, Inc.

Senior Data Scientist in AI & Data Science team driving development of battery state estimation algorithms. Collaborating with cross-functional teams to enhance performance of Battery Energy Storage Systems.

Posted 7/9/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSenior💰 $120,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformLinuxNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.
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).

Benefits

Comp & perks

Competitive salaries
Generous benefits
Flexible working hours

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningDeep LearningStatistical ModelingData ScienceProduction-Grade Software PracticesModular CodebasesLarge-Scale Data HandlingBESS TopologyBattery Management SystemsAgile Project Management

Soft Skills

Excellent Communication SkillsCollaboration Across TeamsMentoring

Certifications

Master’s DegreePh.D. (Preferred)