EV Battery Analytics Staff Computer Scientist

Description
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 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.

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

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.

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.
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