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Staff Data Scientist - Fleet Analytics and Modeling

  • [Location]
    • Palo Alto, California
  • 日程 Full time
  • 发表

描述

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.

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse Careers.Accommodations@GM.com ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.