Senior Battery Data Scientist (Li-S) - Equity Eligible

Lyten, Inc.; United States; On-site; USD 141,000 - 212,000; Full time

Job summary

Lyten, Inc. is seeking a Staff Battery Data Scientist to transform cell, process, and quality data into actionable insights that improve performance and yield in Li-S batteries. You will collaborate across R&D, process engineering, quality, and manufacturing to deploy analytical systems that empower learning and optimization.

Join a fast-growing team driving innovation in energy storage materials. You’ll build ML models, design DOE studies, and leverage LLM tooling to automate analyses while

Qualifications

• BS/MS/PhD in data science, electrochemistry, materials science, chemical engineering, computer science, or equivalent experience
• Minimum of 8 years in data science or analytics, including 4+ years with battery or high-volume manufacturing data
• Strong Python and SQL skills with libraries (pandas, SciPy, scikit-learn) and ML frameworks (PyTorch or TensorFlow)
• Experience with large-scale time series analysis, SPC/DOE, and root-cause analysis in manufacturing
• Proven ability to deploy ML models to production using Databricks, Snowflake, and GitHub
• Hands-on experience applying LLMs or agentic tools for automated analyses
• Adaptable, first-principles thinker who finds root causes and solves complex battery challenges

Responsibilities

• Identify failure drivers in cell, process, and quality data, and produce a prioritized roadmap for engineering and operations
• Lead lithium-sulfur analytics, including cell-to-cell variation and early-life performance predictions
• Clean and analyze high-volume time series data from cyclers and manufacturing tools, linking to quality data
• Build, validate, and deploy ML models for performance prediction and anomaly detection, choosing simpler methods when appropriate
• Design DOE, SPC, and statistical tests to inform engineering decisions and communicate findings with uncertainty
• Use AI/LLM tooling to automate recurring analyses and build a searchable knowledge base
• Mentor junior team members and establish standards for analytical rigor and reproducibility

Skills

Python

SQL

Time series analysis

ML models

LLMs

Databricks

Snowflake

GitHub

Pandas

SciPy

Education

Data science or related field

Tools

Databricks

Snowflake

GitHub

MLflow

Python libraries

Spark

ETL/ELT

MES data

Job description

Lyten, Inc. is seeking a Staff Battery Data Scientist to transform cell, process, and quality data into actionable insights that improve performance and yield in Li-S batteries. You will collaborate across R&D, process engineering, quality, and manufacturing to deploy analytical systems that empower learning and optimization.

Join a fast-growing team driving innovation in energy storage materials. You’ll build ML models, design DOE studies, and leverage LLM tooling to automate analyses while