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Sr. Manager
Reliability Data Science and Analytics
Confirmed live in the last 24 hours
Locations
Menlo Park, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Analysis
Data Science
Docker
Google Cloud Platform
Hadoop
C/C++/C#
Management
Scala
SQL
Terraform
Python
Go
Requirements
  • Minimum requirement is a Bachelors degree in Computer Science, Statistics or an Engineering discipline with 10+ years of industry experience in a data science role
  • Exceptional management skills, attracting and retaining great talent. Preferably five or more years of experience managing highly technical teams of data scientists and analysts
  • Strong fundamentals in software engineering with Python, expert in all major Python libraries for data analysis
  • Working knowledge of statistical and machine learning concepts, experience with developing predictive models
  • Excellent data visualization skills
  • Experience working with data in Apache Spark, Python and SQL
  • Great collaborator and communicator with partners across engineering teams
  • Effective in planning projects, setting deliverables and defining timelines
  • A desire to contribute to a respectful, fun, inclusive and inspiring team culture
Responsibilities
  • Lead and develop a talented and highly technical team of data scientists and analysts
  • Be a strong technical leader and coach for the team
  • Lead the vision, strategy and roadmap of reliability data analytics and reporting that support continuous product improvements
  • Work with vehicle telemetry data at scale to provide insights on the reliability of Rivian products
  • Lead the development of field performance KPIs and architect the team's approach to data visualization and dashboarding
  • Develop statistical packages to automate reliability analytics and data visualizations
  • Lead the utilization of parametric data coming from the vehicle for physics-of-failure based reliability models
  • Develop statistical and machine learning models for predicting and forecasting field failures
  • Extract useful statistics and usage profiles from the existing fielded fleet in order to drive accurate design requirements for next generation vehicles
  • Lead the predictive maintenance reliability analytics for our fleets, products and accessories
  • Work cross-functionally with the cloud data infrastructure, IT and other data stakeholders to drive implementation of meaningful data interfaces to support data science for reliability
  • Develop strong partnerships with design, service, manufacturing, testing and other engineering teams across the organization to promote a data driven mindset in decision making around product development, design improvements and servicing strategies
Desired Qualifications
  • Masters or PhD in Computer Science, Statistics or Engineering is desired
  • Automotive industry experience
  • Experience with prognostics and health management
  • Experience in physics of failure reliability modeling and survival models
  • Experience with data at scale technologies such as hadoop/hive/presto/beam
  • Cloud infrastructure AWS/GCP with terraform/docker
  • Programming in multiple languages such as golang/scala/C/C++
Rivian

10,001+ employees

Electric vehicles manufacturer
Automotive
Company mission
Rivian is on a mission to keep the world adventurous forever. The company believes there is a more responsible way to explore the world and is determined to make the transition to sustainable transportation an exciting one. Rivian designed their emissions-free Electric Adventure Vehicles to challenge what's possible.
Benefits
  • Ownership for All: We offer every employee the opportunity to own Rivian stock through equity programs, supporting their financial wellness.
  • Mental and Emotional Wellness: We provide employees and their families access to mental wellness platforms and our Employees Assistance Program
  • Fertility and Family Planning: We support diverse family-building journeys, providing employees with benefits such as paid parental leave and financial support for adoption, fertility treatments or surrogacy.
  • Competitive Compensation: We offer competitive compensation packages driven by mutual investment in our long-term growth and success.
  • Career Development: We enable all employees to own their development. Continuous learning opportunities and tuition reimbursement help drive performance, boost engagement and develop future leaders.
  • Transgender Benefits: In alignment with WPATH guidelines, our 2022 plans provide coverage toward medical, pharmacy and cosmetic needs.
Company Values
  • A diverse workforce
  • Embracing active allyship
  • Purpose-driven partnerships
  • Supporting our team