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Lyten

Develops 3D graphene-based energy solutions

Staff Battery Data Scientist

Data SciencePosted on Nov 10
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • A BS, MS, or PhD in data science, electrochemistry, materials science, chemical engineering, or computer science, or equivalent experience.
  • At least 8 years of experience in data science or analytics, including at least 4 years working with battery, electrochemical, or comparable high-volume manufacturing data.
  • Strong Python and SQL skills, with proficiency in pandas, SciPy, scikit-learn, and PyTorch or TensorFlow.
  • Experience with large-scale time-series analysis of instrument or tool data, SPC, DOE, and root-cause analysis in a manufacturing setting.
  • Experience taking machine-learning models from prototype to production using modern data platforms such as Databricks or Snowflake and version control such as GitHub.
  • Hands-on experience applying LLMs or agentic tools, such as RAG or MCP integrations, to automate analysis or knowledge retrieval.
  • Ability to apply first-principles thinking to separate signal from noise, identify root causes, and solve problems involving new battery chemistry.

Responsibilities

  • Identify failure drivers in cell, process, and quality data, and turn them into prioritized next steps for engineering and operations.
  • Lead lithium-sulfur analytics, including cell-to-cell variation, capacity fade, formation behavior, and early-life prediction of long-term performance.
  • Clean and analyze high-volume time-series data from cyclers, formation equipment, and manufacturing tools, and link it with cell-level quality data to identify root causes.
  • Build, validate, and deploy machine-learning models for performance prediction, anomaly detection, and process optimization, and determine when a simpler statistical method is more suitable.
  • Design DOE, SPC, and statistical testing that provide actionable decisions for engineers, and communicate findings, including uncertainty, to technical and executive audiences.
  • Use AI and LLM tooling to automate recurring analyses and build a searchable knowledge base so that learnings persist beyond individuals.
  • Mentor junior team members and set standards for analytical rigor and reproducibility.

Desired Qualifications

  • Experience with lithium-sulfur or other next-generation battery chemistries.
  • Familiarity with cell formation, cycling, EIS, and BMS data.
  • Experience building or supporting data pipelines using SQL/Python-based ETL/ELT, Spark, or orchestration frameworks, and working with MES systems and their data outputs.
  • Experience with MLflow, Unity Catalog, or similar model and data governance tooling.
  • Experience with Bayesian methods or survival and reliability modeling.

About the Company

Lyten

Develops 3D graphene-based energy solutions

Lyten develops and applies 3D graphene materials to help heavy-emitting industries reduce their carbon emissions. It builds applications on a materials platform centered on 3D graphene and is advancing Lithium-Sulfur batteries to improve EV efficiency and affordability. It differentiates itself by partnering with Fortune 500 customers and building a scalable platform rather than relying on a single product, with support from strategic investors like FedEx, Stellantis, and Honeywell. Its goal is to help large emitters reach net-zero while preserving profitability and accelerate the global transition to clean energy through practical, scalable technology.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$1.2B
Headquarters
San Jose, CA
Founded
2015

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