Crosslinked

One of 8,101 open polymer and materials roles on Crosslinked, each read for materials, degree, visa and salary. See roles like this

Staff Battery Data Scientist

Lyten · San Jose, CA,today,verified 1 h ago
$141k – $212kfrom the posting

BS-level R&D / Research roles on Crosslinked list a median of $126k (385 that show pay).

Analyze lithium-sulfur cell, process and quality data to find failure drivers and build ML models for performance and yield.

Apply

Weekly, free, one-click unsubscribe.

Apply

Worth knowing

Why it is interesting. Own analytics for a new lithium-sulfur chemistry as Lyten scales cell production across the U.S. and Europe

Might not be for you. Data science role with no bench work, and 8+ years of experience required

Computational or deskTechnical lead Senior hires only

Adjacent materials role:Analyzes lithium-sulfur cell, formation and cycler data to find failure drivers; electrochemistry/materials science degree accepted; battery cell materials

H-1B filings

Lyten filed 3 H-1B labor applications for scientist and engineer roles from Jan to Dec 2025.

Most common titles: Senior Manufacturing Quality Assurance Engineer, Staff Automation Controls Engineer, Senior Battery Engineer for Testing. Median filed pay: $129K a year.

From U.S. Department of Labor disclosure data. A filing is a record of past hiring, not a promise about this role, so confirm sponsorship with the employer. Titles and filed pay · Every employer's filings

Seniority
Staff/Principal
Work
On-site
Type
Full-time
Degree
BS
Experience
8+ yrs
Industry
Energy
Role
R&D / Research
Relocation
Offered
Techniques
time series analysis of cycler and formation dataSPC,322 rolesDOE,286 rolesroot cause analysis,132 rolesEIS,30 rolescell formation and cycling
Benefits
equitytier-based bonusrelocation plan

Role details

Lyten is leading an industrial revolution through Lyten 3D Graphene™, 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 Graphene™, 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 reproducibility

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 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

Preferred 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 - $211,700.00

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.

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.

Why Work at Lyten

At Lyten, you’ll be part of a team that’s redefining what’s possible in energy, materials, and manufacturing. We’re not just imagining the future — we’re building it today with breakthrough technologies that are changing how products are made and how industries innovate.

Our people are the heart of that mission. From world-class scientists and engineers to creative problem-solvers in operations, manufacturing, and commercialization, every member of the Lyten team plays a role in turning bold ideas into real-world impact. We believe that the best work happens when you’re doing great things in the world — with people you like. Collaboration, curiosity, and a shared sense of purpose drive everything we do.

What You’ll Find at Lyten

  • 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.

Lyten offers the opportunity to do the most important work of your career — helping build the technologies that will power the next century of innovation.

Join us, and help transform industries, communities, and the planet with friends who share your drive to make a difference.

Related roles

Common questions

What is the salary for the Staff Battery Data Scientist role at Lyten?

The listed annual base salary range is $141K–$212K. This figure is taken from the posting itself.

Does Lyten sponsor H-1B visas?

Lyten has filed H-1B petitions with the US Department of Labor in past years, but this specific posting does not explicitly mention sponsorship for the Staff Battery Data Scientist role. Confirm with the employer before applying if visa support is required.

Where is the Staff Battery Data Scientist role at Lyten based?

This role is based in San Jose, CA.

What degree is required for the Staff Battery Data Scientist role at Lyten?

This role asks for a bachelor's degree.

How many years of experience does this Staff Battery Data Scientist role require?

The posting calls for at least 8 years of relevant experience.

What polymers or materials does this Staff Battery Data Scientist role work with?

lithium-sulfur.

What techniques or methods are required for this Staff Battery Data Scientist role?

time series analysis of cycler and formation data, SPC, DOE, root cause analysis.