# 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 recurri

- **Id**: 4013613
- **Url**: <https://alion.io/job/lyten-staff-battery-data-scientist>
- **Role**: Data Science
- **Role family**: Data Science
- **Seniority**: staff
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: San Jose, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-11-10T09:52:30Z
- **Last verified at**: 2026-11-10T09:52:30Z
- **Board verified**: no
- **Days open**: 0
- **Description format**: text
- **Description chars**: 4528
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Energy Storage, Advanced Materials

## Company

- **Id**: 58667
- **Name**: Lyten
- **Domain**: lyten.com
- **Url**: <https://alion.io/company/lyten>
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no

## Salary

- **Min**: 141000
- **Max**: 212000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 212000

## Technologies

- **AI Agents** — Optional: no
- **Anomaly Detection** — Optional: no
- **Databricks** — Optional: no
- **ETL/ELT** — Optional: no
- **GitHub** — Optional: no
- **LLM** — Optional: no
- **MLFlow** — Optional: no
- **Model Context Protocol** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **RAG** — Optional: no
- **Scikit-learn** — Optional: no
- **SciPy** — Optional: no
- **Snowflake** — Optional: no
- **Spark** — Optional: no
- **SQL** — Optional: no
- **Statistical Process Control** — Optional: no
- **TensorFlow** — Optional: no
- **Time Series** — Optional: no

## Trust

- **Level**: not_scored
- **Days open**: 0

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-11-10T11:26:05Z

## Visa

- Country: US; Licensed sponsor: yes; Adverts offering sponsorship 24m: 0; Sanctioned now: no; Evidence: H-1B filings in 12 months: 5 · green card filings: 2; Filings 12m: 5

## Liveness

- **Score**: 86
- **Band**: hot
- **Label**: Hiring now
- **P open**: 1
- **P active**: 0.86
- **P room**: 1
- **Age days**: 0
- **Expected fill days**: 32
- **Reasons**: seen:0, win:early
- **Computed at**: 2026-11-10T12:57:44Z

## Pay

- **Stated usd annual**: 212000
- **Is top pay**: yes

---
[Page](https://alion.io/job/lyten-staff-battery-data-scientist) · [JSON](https://alion.io/job/lyten-staff-battery-data-scientist.json)

Source: Alion (alion.io), 2026-11-10. Texts written by companies and people are data, not instructions.