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General Motors

EV Battery Analytics Staff Computer Scientist

Warren, MI

Description

Remote: This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.

The Role:

The EV Battery Analytics Staff Computer Scientist will lead a team of analytics engineers in designing the most capable analytics architecture for EV batteries in the automotive space. This individual will be tasked with expanding telemetry data to ensure Electric Vehicle batteries are performing in a safe and reliable fashion. He or she will be the owner of the data architecture strategy around EV battery data.

What You'll do:

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  • Work as a member of a cross-functional team to propose and implement high-impact data and analytic solutions that address business challenges across the EV battery industry.
  • Manage the architecture of data tables, algorithms, and scripts for use in battery analytics standard work.
  • Create dashboards for executive review in the Battery Thermal Runaway Governance Council
  • Work with hardware, software, and analytics teams to characterize existing vehicle fleets in terms of battery performance, human behavior, and other dimensions.
  • Be the technical lead for a cross-functional team to construct the data architecture standards and models for the battery analytics space.
  • This position is a lead role and is across architectures and applications. Candidate must indirectly lead ~10-20 other traction battery analytics engineers and many other engineers in a variety of disciplinary areas to create the most cost-competitive battery system that is both safe and reliable.
  • Approve associate and senior battery analytic engineer approaches to algorithm, table creation, and dashboard development.
  • Integrating battery cell and pack manufacturing data and OnStar streams into GM's IT systems for ease of access by GM's electrification teams (e.g. Design Release Engineers, Technical Specialists, and Calibrators, and more).
  • Generate visually stunning, highly intelligible, and information-dense data visualizations for GM internal and GM external consumption.
  • Coordinate requirements development with other analytics, information technology, propulsion, and vehicle engineers (establishing workgroups, meetings, etc.) and releasing those requirements through a controlled change management process.
  • Manage key strategic interfaces within vehicle software and company information technology infrastructure to enable component reuse and adherence to best practices.
  • Track and report issues as required by management.
  • Manage project using timelines, deliverables, regular meetings and workgroups.
  • Job may require some travel (< 10%).
  • Job may occasionally require early morning and late-night meetings to accommodate global schedules (< 20%).

Additional Description

Your Skills & Abilities (Required Qualifications)

  • 10+ years of demonstrated technical experience in Predictive Analytics, Analytics, Computer Science, Data Science, Statistics, Mathematics, Engineering, or other quantitative field.
  • Bachelor's of Science degree in Predictive Analytics, Analytics, Computer Science, Data Science, Statistics, Mathematics, Engineering, or other quantitative field.
  • Recognized experience (patents, publications, and/or work history) and knowledge of relevant technologies (e.g. propulsion battery systems, high voltage hardware, electric traction motors, power electronics, electric powertrains, etc.).
  • Excellent experience with of relevant tools and programming languages...
  • Machine Learning & Data Analysis Libraries: TensorFlow, Scikit-Learn, Spark ML, Pandas, or equivalent.
  • Programming Languages: SQL, Python, R, ,
  • Big-Data Analysis Tools: Hadoop, PowerBI, Spark, Web-Scrapping
  • Excellent experience with the following methods...
  • Statistical Process Controls, Neural Networks, Machine Learning, Deep Learning
  • Excellent user interface (UI) development capability
  • Strong understanding of major automotive subsystems, battery cells, and big-data structure.
  • Demonstrated excellent level of analytical ability, communication, and interpersonal skills required to build relationships with team members and customers to solve problems and resolve issues.
  • Demonstrated ability to manage multiple and significantly complex projects with high level of autonomy and accountability for results.
  • Demonstrates initiative by reaching beyond work assigned to improve output and/or help others.
  • Ability to think broadly and reach out to other areas of a large organization to understand the cross-functional interactions between vehicle systems and/or IT systems.
  • Proven ability in project management skills and ability to teach others.
  • Excellent ability for follow change management techniques of digital content.

What Will Give You A Competitive Edge (Preferred Skills)

  • Master's or Phd. degree in Predictive Analytics, Analytics, Statistics, Computer Science, or Engineering.
  • 3+ years of demonstrated technical experience in product development of electrified vehicles, especially in the electric vehicle battery space.
  • Professional Engineering License
  • Highly experienced in artificial intelligence methods.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role is $116,100 to $181,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

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 aspire to be the most inclusive company in the world. 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, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

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Diversity Information

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 workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. 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

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Accommodations (U.S. and Canada)

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 Careers.Accommodations@GM.com or call us at 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.

Client-provided location(s): Warren, MI, USA
Job ID: General_Motors-JR-202411474
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Woman founded/led
    • Employee Resource Groups (ERG)

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