Battery staff computer scientist

Full job description

Job 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:

• 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 Job 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. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Benefits Overview

The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:

• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
• Company and matching contributions to 401K savings plan to help you save for retirement;
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
• Tuition assistance and student loan refinancing;
• Discount on GM vehicles for you, your family and friends.

Diversity Information

General Motors is committed to being a workplace that is not only free of 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 understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.

We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.

Equal Employment Opportunity Statements

GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an indivi d ual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at or call us at . 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.