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Battery Data Scientist Jobs (NOW HIRING)

Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

As part of our Battery Engineering group, you'll help craft creative battery solutions that deliver ... Bachelor's in computer science, engineering, or related fieldsExperience with Python or relevant ...

Senior Battery Engineer

Palo Alto, CA

$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 ...

... battery storage. You will play a critical role in shaping our modeling and analytical data layer ... Lead End-to-End Data Science Projects: Own and drive large projects from problem definition through ...

... battery storage. You will play a critical role in shaping our modeling and analytical data layer ... Lead End-to-End Data Science Projects: Own and drive large projects from problem definition through ...

... battery storage. You will play a critical role in shaping our modeling and analytical data layer ... Lead End-to-End Data Science Projects: Own and drive large projects from problem definition through ...

Data Scientist

Cupertino, CA · On-site

$158K - $206K/yr

The Role As a Data Scientist, you will drive development of cross-disciplinary software products used by our clean electricity retail, battery storage, and electricity market simulation teams. These ...

Data Scientist

Cupertino, CA · On-site

$158K - $206K/yr

The Role As a Data Scientist, you will drive development of cross-disciplinary software products used by our clean electricity retail, battery storage, and electricity market simulation teams. These ...

The Role As a Data Scientist, you will drive development of cross-disciplinary software products used by our clean electricity retail, battery storage, and electricity market simulation teams. These ...

Senior, Data Scientist

Elm Springs, AR · On-site

$90K - $180K/yr

... battery center. ​​​Future Ways of Working: Our company's success can be attributed to our ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

... battery center. ​​​Future Ways of Working: Our company's success can be attributed to our ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Senior, Data Scientist

Tontitown, AR · On-site

$90K - $180K/yr

... battery center. ​​​Future Ways of Working: Our company's success can be attributed to our ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

... battery center. ​​​Future Ways of Working: Our company's success can be attributed to our ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

... battery center. ​​​Future Ways of Working: Our company's success can be attributed to our ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

... battery center. ​​​Future Ways of Working: Our company's success can be attributed to our ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

... battery center. ​​​Future Ways of Working: Our company's success can be attributed to our ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

Senior, Data Scientist

Greenland, AR · On-site

$90K - $180K/yr

... battery center. ​​​Future Ways of Working: Our company's success can be attributed to our ... Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer ...

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Battery Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do battery data scientist jobs pay per year?

As of Jun 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, 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:
Infographic showing various Battery Data Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist II, Battery & Charging - Powertrain Data

Data Scientist II, Battery & Charging - Powertrain Data

Lucid Motors

Newark, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

Leading the future in luxury electric and mobility
At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.
 
We plan to lead in this new era of luxury electric by returning to the fundamentals of great design where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.
 
Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, were providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

We are seeking a passionate and analytical Data Scientist to support our Powertrain Battery and Charging teams. This role will focus on charging system fault and failure prediction, and battery model development. You will play a key role in providing the visualization results for data-driven decision-making across design, R&D, manufacturing, and field operations by transforming complex data into actionable insights.

The ideal candidate will combine a solid foundation in data science with an understanding of engineering systems to deliver impactful analytics, enhance operational performance, and support product improvement initiatives. This includes developing robust dashboards, performing advanced analyses, and working closely with cross-functional teams to ensure data integrity and alignment with business objectives.

Key Responsibilities:

  • Collaborate with engineering teams to define and track key performance indicators (KPIs) for charging performance, battery management systems, and battery pack manufacturing processes.
  • Design and develop interactive dashboards and automated reports to visualize system performance, degradation trends, and operational insights.
  • Conduct exploratory data analysis and apply statistical modeling to support root cause investigations and reliability engineering efforts.
  • Lead efforts to enhance data quality, standardization, and infrastructure scalability across teams and systems.
  • Effectively communicate technical findings to diverse audiences, including executives, engineers, and manufacturing stakeholders.

Required Qualifications:

  • Bachelors degree with 4+ years of experience, or Masters degree with 2+ years, in Data Science, Engineering, Statistics, or a related field.
  • Proficient in Python, SQL, and PySpark for data analysis, automation, and visualization.
  • Practical experience with dashboarding tools such as Tableau and Apache Superset.
  • Background in machine learning algorithms using frameworks like TensorFlow or PyTorch.
  • Excellent problem-solving skills, with strong attention to detail and the ability to excel in fast-paced, engineering-driven environments.
  • Effective communicator with proven ability to collaborate across both technical and non-technical teams.

Preferred Qualifications:

  • Background in Mechanical or Electrical Engineering with a solid understanding of charging systems and battery fundamentals.
  • Experience in developing models using deep learning algorithms.
  • Industry experience in the automotive or electric vehicle (EV) domain, with a focus on EV charging systems, battery pack manufacturing processes, or battery management system analytics.

Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucids equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)

By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice.

To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. 
 

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About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007