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Battery Data Scientist Jobs (NOW HIRING)

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

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 ...

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 ...

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Battery Data Scientist information

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$46K

$165K

$243.5K

How much do battery data scientist jobs pay per year?

As of Jul 13, 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, and why are they important?

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:
AI/ML Data Scientist (GPSSC)

AI/ML Data Scientist (GPSSC)

General Motors

Warren, MI

Full-time

Re-posted 15 days ago


General Motors rating

8.0

Company rating: 8.0 out of 10

Based on 309 frontline employees who took The Breakroom Quiz

6th of 44 rated automakers


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale..

The Role

Our Product Safety Data Analytics team is seeking an experienced AI/ML Data Scientist with hands-on experience in the full end to end data science lifecycle for artificial intelligence & machine learning.

This role requires programming and statistical techniques to solve complex problems and work within a team framework on new AI/ML solutions.

If you're passionate about driving innovation through AI/ML and have experienced delivering solutions to your customers, this role offers an exciting opportunity to contribute to impactful projects in a dynamic team environment.


As an AI/ML Data Scientist, you will be responsible for working with our customers to understand their challenges and needs, develop new machine learning solutions, work with ML Ops in a cloud environment, develop proof of concepts for new generative AI solutions and Agentic AI solutions.

What You'll Do

  • Work with our existing business partners to identify opportunities for new AI/ML solutions to enhance processes and enable our team members to be more efficient

  • Train new machine learning models to solve complex business problems.

  • Prototype new AI solutions, including Generative AI, to solve business problems.

  • Develop new Agentic AI solutions to streamline business process

  • Ehnance existing model solutions as business and technology continues to evolve

  • Provide guidance on business problems using statistical methods and can craft ad-hoc reports to share findings and recommendations with business partners.

  • Build statistical models that depict company-wide trends.

  • Perform testing and validation of data sets.

  • Work on and refine storytelling skills to convey ideas and results to leadership, customers and stakeholders

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

  • 5+ years of experience in machine learning, engineering, data science, or a related field

  • Looking for experience in the following:

    • Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL

    • Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering

    • Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering

    • Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) )

    • Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira

    • Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy

  • Proven track record delivering AI/ML solutions to customers that get continued usage and drive value

  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment

  • Strong problem-solving mindset and a proactive attitude towards learning and self-improvement

What Will Give You A Competitive Edge (Preferred qualifications)

  • Deep knowledge of GM's Data Ecosystem

  • Deep knowledge of GM's Cloud Technology Stack for Data Science

  • Deep knowledge of Global Product Safety's SFI Process

  • Extensive NLP solutions from business problem statement to deployment and ongoing optimization

  • Expertise with Large Language Models solutions from business problem statement to cloud deployment that have provided significant incremental business value

  • Experience with generative AI solutions that you have developed and deployed into a production environment that have provided significant incremental business value

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908