General Motors

You will assist in defining requirements for the on-going development of our data science and machine learning pipeline framework.. Assist in the evaluation of novel algorithmic approaches to optimize fleet logistics including advanced energy management and grid-integration of flexible loads. 5+ years of industry experience developing and deploying data-driven insights in transportation mobility systems, gaming, scientific simulation, product R&D, or related field. Experience using big data analytics and workflow orchestration tools at scale (e.g. Databricks,DBT,UbiOps, Luigi, Airflow, Spark, etc.). 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.

staff data scientist

Job Description 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 Job 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. 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 individual'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 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.
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