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Über diese Staff Battery Data Scientist Stelle bei Lyten

Lyten · Vor Ort · San Jose, CA

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.

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.

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.

Bereit, sich bei Lyten zu bewerben?
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Wie sich dieses Gehalt für Data Scientist vergleicht

Diese Stelle zahlt $176,400/yr — im Einklang mit der üblichen Spanne für Data Scientist Stellen.

$145,225 dem Median $171,950 $211,263

Übliche Spanne $162,100–$180,619/yr, aus 6 vergleichbaren Data Scientist Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Scientist ansehen →

Über Lyten

Founded in 2015 in Silicon Valley, California, Lyten is transforming the future of energy and materials innovation to build a stronger, more resilient world. Our breakthrough innovation, Lyten 3D Graphene™, is a brand-new supermaterial that enables the creation of products that perform better and cost less. Lyten is rapidly scaling operations across the U.S. and Europe. Our lithium–sulfur (Li-S) batteries—free from nickel, manganese, cobalt, and graphite—deliver higher energy density and lighter weight while enabling a more secure, independent supply chain and a next-generation alternative to traditional lithium-ion chemistry. The acquisition of Northvolt’s assets in California, Poland, Swed

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