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Battery Data Scientist Jobs (NOW HIRING)

Senior Battery Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

Analyze battery performance data from flight tests and commercial operations to drive continuous ... Bachelor's degree in Chemical Engineering, Materials Science, Mechanical Engineering, Electrical ...

We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery ... As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ...

Master's or PhD in Computer Science, Mathematics, Engineering, or a related field. * 2-5 years of experience in data analysis, preferably in battery systems, energy storage, or electric vehicles.

Senior Battery Engineer

$107K - $146K/yr

Our data platform brings unprecedented analytics, visualization, and predictive capabilities to any ... Our high-powered team is composed of battery industry veterans, PhD scientists, a highly skilled ...

Senior Battery Engineer

Palo Alto, CA · On-site

$211K - $224K/yr

Analyze battery performance data from flight tests and commercial operations to drive continuous ... Bachelor's degree in Chemical Engineering, Materials Science, Mechanical Engineering, Electrical ...

Showing results 21-40

Battery Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do battery data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for battery data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How does a battery data scientist typically collaborate with engineers and product teams?

Battery Data Scientists work closely with engineers, product managers, and sometimes manufacturing teams to analyze and interpret data from battery systems. They frequently participate in multidisciplinary meetings to discuss findings, troubleshoot issues, and recommend optimizations based on their data analyses. Effective communication is key, as they must translate complex data insights into actionable recommendations that engineers and product teams can implement. This collaborative environment not only accelerates innovation but also provides opportunities for Battery Data Scientists to broaden their technical knowledge and contribute to product development.

What are the key skills and qualifications needed to thrive as a battery data scientist?

To thrive as a Battery Data Scientist, you need a solid background in data analysis, machine learning, and battery technology, often supported by a degree in engineering, physics, or data science. Familiarity with programming languages like Python or R, experience with battery management systems (BMS), and knowledge of data visualization and modeling tools are highly valued. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating across multidisciplinary teams and translating technical findings into actionable insights. These skills are crucial for optimizing battery performance, advancing energy storage solutions, and driving innovation in the field.

What is a battery data scientist?

A Battery Data Scientist is a professional who analyzes and interprets large sets of data related to batteries, such as their performance, degradation, and efficiency. They use statistical methods, machine learning, and domain expertise to extract insights that can improve battery design, predict lifespan, and optimize charging cycles. These experts often work closely with engineers and researchers to solve problems in battery development and deployment, particularly in industries like electric vehicles and renewable energy storage.

What is the difference between Battery Data Scientist vs Battery Engineer?

AspectBattery Data Scientist

Required CredentialsDegree in Data Science, Computer Science, Electrical Engineering, or related fields; proficiency in data analysis, machine learning, and programming languages like Python or R.

Work EnvironmentPrimarily office-based, working with large datasets, modeling, and analytics tools; collaboration with R&D and engineering teams.

Employer & Industry UsageUsed in battery manufacturing companies, automotive, and energy storage industries to optimize battery performance and lifespan through data analysis.

In summary, a Battery Data Scientist focuses on analyzing data to improve battery technology, whereas a Battery Engineer is involved in designing, testing, and manufacturing batteries. Both roles require technical expertise, but their core responsibilities differ significantly.

More about Battery Data Scientist jobs
What cities are hiring for Battery Data Scientist jobs? Cities with the most Battery Data Scientist job openings:
What states have the most Battery Data Scientist jobs? States with the most job openings for Battery Data Scientist jobs include:
Infographic showing various Battery Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Cell Modeling & Analytics Engineer

Peak Energy

Broomfield, CO

$105K - $144K/yr

Full-time

Posted 18 days ago


Job description

Peak Energy

Job Title: Senior Cell Modeling & Analytics Engineer

Location: Broomfield, CO or Burlingame, CA

Department: Cell Engineering

Reports To: Cell Applications Engineering Manager

Position Type: Full-Time

About Peak Energy

Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. 

Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market.  

Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures.  

We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience. 

If you want to define how a new chemistry is tested, validated, and trusted at commercial scale — and to build the lab, fixtures, and methods that make that possible — we encourage you to apply and help us power a more sustainable future.

About the Role - Senior Cell Modeling & Analytics Engineer

Peak Energy is seeking a Senior Cell Modeling & Analytics Engineer to develop the predictive models and data analytics that drive cell design, performance optimization, and life prediction for sodium-ion cells. The ideal candidate brings a deep understanding of battery failure mechanisms and applies that expertise across thermal and heat-generation modeling, equivalent circuit modeling, physics-based electrochemical modeling, and 3D battery modeling. In this role you will build models that predict battery life, characterize thermal behavior, and optimize performance, and you will analyze large sets of cell performance data to surface trends, anomalies, and optimization opportunities.

The successful candidate combines strong modeling and simulation skills with rigorous data analysis to create models that drive innovation and efficiency across our battery-powered products.

What You'll Do (Responsibilities)

  • Develop, validate, and refine battery life models to predict cell life and performance under various operating conditions.
  • Develop thermal and heat-generation models at the cell level to characterize temperature distribution, heat rejection, and thermal behavior under operating and abuse conditions, and to inform cell and system thermal design.
  • Build and parameterize equivalent circuit models (ECMs) for cell performance prediction, state estimation (SOC/SOH), and integration into system-level and BMS simulations.
  • Develop physics-based models (e.g., electrochemical / pseudo-2D / Doyle-Fuller-Newman) to capture the underlying transport, kinetics, and degradation mechanisms that govern cell behavior and guide design decisions.
  • Build 3D battery models to simulate spatially resolved electrochemical, thermal, and mechanical behavior across cell geometries and formats.
  • Analyze large sets of battery performance data to identify trends, anomalies, and optimization opportunities and assess model accuracy.
  • Collaborate with cross-functional teams, including cell engineers and ESS engineers, to integrate battery data and models into broader product-level models and enhance battery performance in the ESS product.
  • Build and implement algorithms for advanced data analysis, using tools like Python.
  • Create and maintain comprehensive reports, visualizations, and dashboards to communicate findings and recommendations.
  • Assist in root-cause analysis on battery failures and contribute to improving product design and performance.
  • Continuously research advancements in battery technologies, modeling methods, and data science methodologies to improve current processes.

What You'll Bring (Qualifications)

  • Bachelor's or Master's degree in Engineering, Chemistry, Materials Science, Data Science, Computer Science, or a related field.
  • Minimum of 5 years of hands-on experience in battery modeling and battery data analysis.
  • Deep understanding of lithium-ion and/or sodium-ion battery technologies, including their failure mechanisms.
  • Hands-on experience with cell modeling approaches spanning thermal / heat-generation modeling, equivalent circuit modeling, and physics-based electrochemical modeling.
  • Proficiency in programming languages such as Python, with experience in data manipulation, physical modeling, statistical modeling, and machine learning.
  • Experience working with large datasets, performing statistical analysis, and using data visualization tools.
  • Strong problem-solving skills and the ability to interpret and analyze complex datasets.

Preferred Qualifications

  • PhD degree in Engineering, Chemistry, Materials Science, Data Science, Computer Science, or a related field.
  • Experience in the simulation of battery materials, electrodes, and cells.
  • Knowledge of electrochemical models and battery simulation tools (e.g., COMSOL, GT-AutoLion, PyBaMM, Simulink).
  • Experience developing 3D battery models for coupled electrochemical-thermal-mechanical simulation.
  • Experience in advanced battery data analysis, such as dQ/dV fitting and EIS modeling.

Peak Energy is committed to building a diverse and inclusive workforce. We strongly encourage women, people of color, and individuals from underrepresented groups to apply. We value skills, potential, and perspective over specific credentials. If you're excited about this role but your experience doesn't look perfect on paper, we still want to hear from you.

Our Core Values

  • Speed Through Focus - Move fast but understand why. Focus on the goal, don't sacrifice quality.
  • Mission Over Self - It's about the greater good; confident humility. Take ownership and accountability.
  • Face the Brutal Truth - Transparency, honesty, big picture curiosity. Fearless decision making.
  • Be a Good Person - Kindness, collaboration and teamwork.

Compensation & Benefits

The salary range for this role is $140,000 - $175,000, with actual pay varying based on work location, experience, and skills. Our competitive benefits package includes:

  • Flexible time off
  • Comprehensive medical, dental, and vision coverage
  • Strong 401(k) plan
  • Equity opportunities
  • Many great work perks

Join us to thrive in a supportive environment while making a meaningful impact in the energy sector!

At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company's full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.