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. 

We operate development centers in Plymouth, Michigan; Southern California (Irvine, Carson & LA); Silicon Valley (San Jose and Palo Alto); Vancouver, British Columbia; and Surrey, England; as well as a manufacturing facility in Normal, Illinois.

 

Role Summary

In this position you will use your analytical, statistical and programming skills to analyze and interpret large data sets for the demand planning organization to develop data-driven solutions to service parts forecasting. You will support our demand planning team 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.

 

Responsibilities

  • Identify data sources required for service parts demand planning and automate collection processes

  • Support preprocessing of structured and unstructured data

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

  • Build predictive models and machine-learning algorithms to improve part level forecasting accuracy

  • 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

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

 

Qualifications

  • 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 forecasting, supply chain theories, and target service levels

  • Knowledge of Channel/Service network forecast desegregation (a plus)

  • Understanding and experience in implementing lean project initiatives

Equal Opportunity

Rivian is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Rivian is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rivian are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rivian will not tolerate discrimination or harassment based on any of these characteristics. Rivian encourages applicants of all ages.

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