Rivian-posted 9 months ago
Mid Level
Irvine, CA
Transportation Equipment Manufacturing

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. As a Data Scientist within the Service Business Operations team, you will be reporting to the Manager of Data Science and Engineering. The Service Business Operations team works across the organization to use data to inform and aid in the strategic planning and operational decisions of how we allocate resources to support Rivian in its growth. As an early member of a growing team, this role will have an impact on the direction and evolution of the data science practice and technical approaches. As a Data Scientist, you will partner cross functionally to understand data and key business questions, combining disparate data sets and creating models to support how we forecast, estimate, and scenario plan. This role will have an opportunity to lead both how we model and visualize data for strategic and tactical Service business decisions.

  • Partner with Analytical Engineers and Analysts to support the creation, presentation, and interpretation of data using models, statistics, visualization and/or machine learning
  • Collaborate with cross functional organizations to deliver end to end solutions including gathering and understanding the business need, exploring data, building and validating models, and deploying models
  • Design and develop algorithmic approaches to support the Service Business Operations team in forecasting and estimating the allocation of resources across the service network
  • Lead the design of the Service Business Operations modeling and simulation framework, while closely collaborating with Analytical Engineers, to define the architecture to solve a multi-faceted modeling problem
  • Code that meets standards for style, maintainability, reusability, and automation using tools such as Python, R, Matlab, AWS, and/or SQL
  • Continuously seeking opportunities for improvement, focusing on using sound quantitative approaches in statistics or mathematics to improve how we ask questions, how we answer those questions, and how we use data to create business impact
  • 3+ years of professional experience in analytics, data science, machine learning, and statistical modeling using Python or other language or tools like R, Matlab, AWS, and SQL
  • Masters or PhD in a quantitative discipline (including but not limited to Statistics, Physics, Mathematics, Optimization, or Computer Science)
  • Proven professional experience working through an environment of ambiguity with the ability to self-prioritize responsibilities and requests from multiple cross functional partners
  • Strong analytical and organizational skills with strong attention to detail and quality
  • Thorough and detailed analytical and organizational skill to develop end to end data querying, aggregation, analysis, and visualization
  • Professional experience supporting Business Operations to estimate resource allocations using advanced statistics, forecasting, sampling, regression, time-series, optimization, or Monte Carlo
  • Ability to sit for 8-12 hours per day
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