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BrightDrop Senior Data Scientist – Fleet Analytics and Modeling

  • Palo Alto
  • Engineering
  • Full Time
  • Added
  • JR-000092695


At BrightDrop, we are reshaping e-commerce by developing smarter, greener, and more efficient ways to deliver goods and services to your door, while delivering a brighter future for the cities where we live. We are building an ecosystem of all-electric, zero-emissions delivery solutions – from electric vehicles, to ePallets and software that leverages real-time data to drive intelligent optimizations for e-commerce. To deliver on our mission we are growing fast and building a team -- based in Palo Alto, with offices in Atlanta and Detroit -- that is customer-focused, agile and passionate about innovating for a more sustainable future.    

From engineering to product management and operations, BrightDrop is looking for people who can combine a passion for technology and sustainability with high doses of curiosity and rigorous thinking to deliver a better future.  Backed by General Motors, BrightDrop is striving to improve the communities where we live and deliver a better future for generations to come. We hope you’ll join us.   

As Senior Data Scientist for Fleet Analytics and Modeling, you will generate timely, actionable insights for our customers across the last-mile delivery sector through retrospective analysis of fleet telemetry data as well as prospective analysis of output from BrightDrop’s meso-scale agent-based simulation environment. You will analyze and evaluate algorithms that optimize last-mile logistics for manually driven and autonomous fleets, in an increasingly on-demand context. You will assist in defining requirements for the on-going development of our data science and machine learning pipeline framework.


  • 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 last-mile, on-demand delivery 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



  • 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, 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) 


  • Experience using big data analytics and workflow orchestration tools at scale (e.g. 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 


  • Experience designing backend data pipelines (framework selection, DAG design, etc.) 

  • Expertise in R 

  • Self-driven with a passion for transportation decarbonization 

  • Adherence to clean code principles 

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

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and 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 at 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.