Address
Form of workDescription
As a Staff Data Scientist for Fleet Analytics and Modeling, you will generate timely, actionable insights for our B2B customers through retrospective analysis of fleet telemetry data. In addition, you will contribute to our real-time operations and control platform that empowers our customers to maximize productivity and minimize the cost of operating their fleets. You will assist in defining requirements for the on-going development of our data science and machine learning pipeline framework.
Responsibilities :
Use data processing pipeline systems to implement workflows that enable rapid and flexible insight generation and model development at scale
Work with hardware, software, and analytics teams to characterize existing fleets in terms of vehicle performance, business strategy, human behavior, and other dimensions
Generate visually stunning, highly intelligible, information dense data visualizations for internal and external consumption
Present results of analyses to technical team members, product team, senior management, and other stakeholders
Develop robust models of fleet behavior for use in simulation, prediction, and optimization using statistical learning methods
Assist in the evaluation of novel algorithmic approaches to optimize fleet logistics including advanced energy management and grid-integration of flexible loads
Work with the Product team to define and innovate the deployment of more efficient, on-demand, electrified goods delivery systems
Engage with cross functional teams to find opportunities to create unique, data-driven products that drive long-term engagement with our software
Additional Description
Required :
Master’s degree or equivalent experience in computer science, data science, engineering, or related quantitative field
5+ years of industry experience developing and deploying data-driven insights in transportation mobility systems, gaming, scientific simulation, product R&D, or related field
Track record developing innovating solutions to solve complex logistical problems at scale
Deep experience with Python, Jupyter, Pandas, SciKit Learn, and associated tools for statistical and machine learning
Experience working in teams using agile software development methodologies together with distributed version control systems (e.g., git)
Preferred :
Experience using big data Analytics and workflow orchestration tools at scale (e.g. Databricks,DBT,UbiOps, Luigi, Airflow, Spark, etc.)
Experience with A/B testing of data-driven, customer facing products
Experience integrating simulation systems with distributed, data-intensive processing or analytics applications
Domain knowledge in transportation and energy systems, graph algorithms, convex optimization, and/or reinforcement learning
Familiarity with SQL
Desired :
Experience designing backend data pipelines (framework selection, DAG design, etc.)
Self-driven with a passion for transportation decarbonization
Adherence to clean code principles
This role is categorized as Hybrid. This means the successful candidate is expected to report onsite three times per week at minimum (Tues-Thurs.)
The compensation information is a good faith estimate only. It is based on what a successful applicant in the California Bay Area which includes the following counties: Marin, Contra Costa, San Francisco, Alameda, San Mateo, Santa Clara, and Santa Cruz might be paid in accordance with the California law.
The compensation may not be representative for positions located outside of the California Bay Area.
The annual salary range for this role is $157,800 - $241,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
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
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.
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.
