Staff Battery Data Scientist

Lyten, Inc. is hiring a Staff Battery Data Scientist to turn lithium-sulfur cell, process, and quality data into insights that improve performance and production yield. The role works across R&D, process engineering, quality, and manufacturing to develop analytical systems, predictive models, and repeatable approaches to learning.

Responsibilities

• Identify failure drivers in cell, process, and quality data, and turn them into a prioritized list of 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 find root causes
• Build, validate, and deploy ML models for performance prediction, anomaly detection, and process optimization, and know when a simpler statistical method is the better choice
• Design DOE, SPC, and statistical testing that give engineers actionable decisions, 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 learnings persist beyond individuals
• Mentor junior team members and set standards for analytical rigor and reproducibility

Skills

• 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 working with battery, electrochemical, or comparable high-volume manufacturing data
• Strong Python and SQL skills, with proficiency in the scientific Python and ML stack (pandas, SciPy, scikit-learn, and PyTorch or TensorFlow)
• Demonstrated experience with large-scale time series analysis of instrument or tool data, and with SPC, DOE, and root cause analysis in a manufacturing setting
• Track record of taking ML models from prototype to production, using modern data platforms (e.g., Databricks, Snowflake) and version control (GitHub)
• Hands-on experience applying LLMs or agentic tools (e.g., RAG, MCP integrations) to automate analysis or knowledge retrieval
• Adaptable, first-principles thinker who can separate signal from noise, find root causes, and creatively solve problems for a new battery chemistry
• 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 (SQL/Python-based ETL/ELT, Spark, 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

Benefits

• Tier based bonus and equity
• Healthcare, dental, and vision
• Corporate discounts
• Paid holidays, PTO, and sick time
• 401K
• Employee relocation plan (if applicable)
• A mission that matters: Contribute directly to solving complex challenges in energy, mobility, and materials innovation.
• Cutting-edge innovation: Work on technologies at the intersection of materials science, energy storage, and advanced manufacturing that strengthen energy security and local supply chains.
• Extraordinary people: Join a team of talented, friendly, and down-to-earth innovators who support, challenge, and inspire one another every day.
• Teamwork and culture: Experience a workplace built on trust, respect, and shared success — where collaboration fuels breakthroughs and everyone’s ideas are heard.
• Global impact: Help scale new materials and energy solutions that reinforce industrial resilience across the U.S. and Europe.
• Career growth: Be part of a fast-moving company entering a commercial growth phase, with opportunities to lead, learn, and make your mark.
• Purpose-driven values: Thrive in an environment that celebrates ingenuity, optimism, and meaningful progress — together.

Company Overview

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