Sr. Data Scientist – Supply Chain Optimization


Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. 

As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. 

Role Summary

In this position you will use your analytical, statistical and programming skills to analyze and interpret large data sets for the Global Service Distribution Strategy and Execution organization to support fact-based decisions. Your role will be to develop models using disparate data sets to make recommendations that support optimization between service levels and total supply chain cost. You will support cross functional teams with insights that will support data and process optimization in order to test different courses of action (what-if scenario planning).  You must have strong experience using a variety of data mining and data analysis methods and tools. You must also have experience building and implementing models through the creation of algorithms and running simulations to support current and future business needs. Must be comfortable working and collaborating with stakeholders.



  • Identify data sources required for service parts distribution total cost and capacity models and automate collection processes

  • Support preprocessing of structured and unstructured data

  • Analyze large amounts of information to discover trends and patterns.

  • Build models and machine-learning algorithms to support proactive capacity planning and total cost optimization

  • Present information using data visualization techniques; make recommendations on path forward

  • Assess effectiveness and accuracy of new data sources and data gathering techniques

  • Develop testing framework and model quality

  • Own solutions developed and manage backlog of requested improvements from stakeholders

  • Develop tools and processes to monitor and analyze model performance and data accuracy

  • Explores new technologies for optimization and macro benchmarking including explorative studies



  • 5+ years of experience in statistical modeling, programming, and manipulating large data sets

  • Masters in Statistics, Mathematics, or Computer Science – PHD a plus

  • Experience working with and creating data architectures

  • Knowledge of machine learning techniques (regression, simulation, scenario analysis, neural networks, decision tree learning, etc..) and pro/cons on each application and approach

  • Excellent problem-solving skills with emphasis on new part launch

  • Excellent written and verbal communication skills for cross-functional collaboration

  • Strong collaborator, with willingness to drive change

  • Coding knowledge and experience with several languages: C, C++, Java

  • An ability to tell a story using data including visualization experience (Tableau, Microsoft PowerBI)

  • Experience using statistical computer languages and orchestration tools (R, Python, SQL, Alteryx, Apache Spark, Kubernetes, Docker, etc.) to manipulate data and support trend analysis from large data sets.

  • Experience using agile methodologies – JIRA or Confluence experience a plus

  • Strong analytical and structured problem-solving capabilities with a focus on root cause investigations

  • Preferred expertise in spare parts supply chain/logistics theory, distribution models, and target service levels

  • Knowledge of total cost and capacity modeling within a fulfillment network – Service a plus

  • Understanding and experience in implementing lean project initiatives

Equal Opportunity

Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

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