Staff Battery Data Scientist

Lyten, Inc.; San Jose (CA); On-site; USD 141,000 - 212,000; Full time

Benefits offered by this job

Tier-based bonus

Equity

Healthcare

Dental

Vision

401K

Paid holidays

PTO

Sick time

Relocation assistance

Job summary

Lyten, Inc. is seeking a Staff Battery Data Scientist in San Jose to turn cell, process, and quality data into actionable insights.

You will lead analytics across R&D, process engineering, quality, and manufacturing, building scalable analytical systems and ML models to improve lithium-sulfur battery performance. The role requires 8+ years in data science with 4+ years in battery analytics, strong Python/SQL, and experience with Databricks, Snowflake, and LLM-based automation.

Qualifications

• 8+ years in data science or analytics, 4+ years with battery data analytics.
• Strong Python and SQL with ML stack proficiency.
• Experience with large-scale time series data and DOE/SPC.
• Experience deploying ML models to production and using Databricks/Snowflake.
• Experience with LLMs to automate analyses and knowledge retrieval.

Responsibilities

• Identify failure drivers in cell, process, and quality data.
• Lead lithium-sulfur analytics: cell-to-cell variation and formation behavior.
• Clean and analyze high-volume time series data from cyclers and tools.
• Build, validate, and deploy ML models for performance prediction.
• Design DOE, SPC, and statistical testing for actionable decisions.
• Use AI/LLMs to automate recurring analyses and build a knowledge base.
• Mentor junior team members and set analytical standards.

Skills

Python programming

SQL

Time series analysis

LLMs / agentic tools

ML deployment

Root cause analysis

Education

BS/MS/PhD in data science or related field

Tools

Databricks

Snowflake

GitHub

MLflow

Unity Catalog

Spark

Job description

Staff Battery Data Scientist### Staff Battery Data ScientistApply: San Jose, CA: Full time: Posted Today: JR101002Lyten is leading an industrial revolution through Lyten 3D GrapheneTM, a breakthrough supermaterial unlocking a new generation of products — from lithium–sulfur batteries and energy storage systems to concrete admixtures, lightweight composites, and next-generation sensors that are revolutionizing industries. Together, these innovations are making a massive global improvement and driving real-world impact across energy, mobility, construction, and defense.At Lyten, we believe the most meaningful careers begin with purpose — and with people who want to make a difference. We’re not just developing advanced supermaterials — we’re about to change the world as we know it, reshaping how energy is stored, how products are built, and how progress is made.We’re entering an exciting growth phase, scaling production across the U.S. and Europe and expanding our team of engineers, scientists, and innovators.Apply now to join our team and be part of something bigger than yourself — where collaboration, creativity, and purpose come together to build the technologies that will define the next century.Lyten is a fast-growing advanced materials company in San Jose, CA. We've developed Lyten 3D GrapheneTM, a platform of carbon-based materials that has the promise to transform many industries, including powering a safer, more powerful lithium-sulfur battery to help electrify transportation and reduce emissions.As we scale lithium-sulfur cell production, we need a Staff Battery Data Scientist who can turn cell, process, and quality data into clear answers about what limits performance and yield. You'll work across R&D, process engineering, quality, and manufacturing, and build analytical systems that make learning more repeatable.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 reproducibilityQualifications:* 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 chemistryPreferred 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 (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**Compensations Range:**The expected base salary range for this position is between$141,100.00 - $211,700.00The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise.**Disclosures:****Pay Transparency Disclosure:**This compensation and benefits information is based on Lyten’s estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.In addition to base pay this position is eligible for tier based bonus and equity, healthcare, dental, vision, corporate discounts, paid holidays, PTO and sick time, 401K, employee relocation plan (if applicable)**Export/ITAR Compliance Disclosure:**Certain positions within Lyten, Inc. require compliance with export control laws and, as a result, all interviewed candidates will be screened pre-interview to determine their eligibility in light of export restrictions.This position requires access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment in this position is conditioned on the continued availability of government authorization to authorize release of such items, to the extent required, including without limitation an export license, or other documentation required to establish authorization to receive access to such items. Company may delay commencement of employment, rescind an offer of employment, terminate employment, and/or may modify job responsibilities, compensation, benefits, and/or access to Company facilities and information systems, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions.**Lyten is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, status as a protected veteran, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.****IMPORTANT: Please be aware that fictitious job openings, consulting engagements, solicitations, interviews or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Lyten Does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. We Do NOT use any messaging apps to recruit or communicate at any time during the recruiting process. Links to the actual job posting will be provided in the email, please verify the position is posted prior to communicating. All genuine job openings will be posted on our careers page and all communications will be from the recruiting team and will be from a @lyten.com email address**.Principals only; third party or agency submitted candidates will not be considered.