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.
Your main responsibility includes Build a Data Science team at Rivian. You will be responsible for all battery data initiatives at Rivian, including Transportation Energy Storage (ESS), Stationary Energy Storage (SESS), and prototype End of Line (EOL) systems, serving as a liaison to transfer EOL testing approaches into Manufacturing. You will build this team from the ground up, finalizing roles and scope for team members and find world-class talent who understand data and batteries. Over time as the team grows, you will define a leadership structure under this role to accommodate increasing scope as we launch products. You will work cross-functionally with many stakeholders within ESS who create data, use data, or both. Additionally, you will work closely with colleagues in Technology who are responsible for the Rivian cloud and Rivian’s connected car. You are a scientist who has a strong working understanding of data architectures, including moderns approaches to cloud data storage as well as collecting, conditioning, and serving data locally. You have a solid understanding of the physical sciences, with exposure to batteries being a plus. You have a deep understanding and extensive experience in algorithms, pattern recognition, and machine learning. In short, you are someone who can turn a mountain of scientific data collected from multiple sources into actionable knowledge and intelligence.
- Build and lead a top world class Data Science team; pioneering new technologies.
- Partner with Senior Leadership to help build a road map influencing Rivian's Energy Storage applications.
- Footprint Analysis – Assess Rivian’s Data Science needs for Energy Storage and define short-, mid-, and long-term plans for data warehousing, processing, and exploitation. Collaborate with colleagues in Rivian’s Technology, and Connected Car, and Battery Management Systems (BMS) teams regarding inputs for data scale
- Team Roadmap and Leadership – Align footprint analysis above with a team need analysis to ensure that Data Science team and capabilities meet organizational needs. Develop leadership roadmap to ensure team can grow over time to meet organizational mission.
- Define Research Strategy for Rivian's Battery Data Science, rivaling top universities.
- Machine Learning Algorithms- Lead academic level innovative Machine Learning research including publications, conference presentations and peer reviewed literature
- Anomaly Detection – Collaborate with a variety of Rivian stakeholders to measure battery status and usage. Develop machine learning algorithms to create models of “normal” behavior from which anomalies can be detected. Anomalies could represent improper function or usage of the cell, pack, or vehicle
- Pattern Recognition – Develop goals for identifying interesting patterns in Rivian data. Develop and socialize pattern recognition concepts with stakeholders and also survey stakeholders for patterns of potential interest that may be detected
- Develop a Data Architecture for Transportation Energy Storage Systems
- Data Infrastructure – Work with Exabyte level data to identify Patterns in Rivian Vehicle/SESS/Pack/Cell data. Collaborate with Rivian stakeholders in Energy Storage as well as Technology to identify needs for data warehousing and services, including capacity planning, APIs, and overall mission
- Vehicle Test Data – Collaborate with data providers in Technology (Connected Car and others) to integrate battery data collected from Rivian vehicles into the Rivian cloud
- Pack Test Equipment – Work with selected vendor to roll out a data infrastructure for Rivian’s pack test equipment, consisting of electrical testers and a vehicle shock/vibe table in Rivian’s test facility. Ensure that the data is warehoused and made available such as to maximize use by Rivian research and development teams who need to pull and query the data
- Develop Plan and Architecture for Stationary Energy Storage Systems (SESS)
- Mission and Scope – Work with SESS leadership to determine data storage needs for Stationary applications. Ensure architecture, storage, and analysis bandwidth align with team needs
- Analytics – Work with SESS leadership to define analytics from battery data. Integrate with other macro-level data that may derive from grid usage, climate data, usage levels, energy throughput, and more
- Implement Plan for End of Line (EOL) Testing
- Test Development – Collaborate with ESS Test/Validation to develop tests for critical components and systems, including BMS, cooling system, power network, and others
- Pilot Implementation – Work with ESS Prototype and Rivian Pilot leadership in Normal to transition tests from R&D labs in Irvine to pilot in Normal. Ensure equipment is properly specified and installed, with automated and semi-automated analysis capabilities instantiated.
- Transition to Manufacturing – Collaborate with Manufacturing Engineering colleagues to transfer EOL tests to Manufacturing for incorporation with Manufacturing Execution System (MES). Ensure that tests are properly automatable, that storage requirements are aligned with expectations, and that data interpretation is fully automated with acceptable detection capability.
- Develop Algorithms and Analytics to Detect Events in Individual Battery Data
- Battery Health Analytics – Collaborate with ESS team members to develop physics-based signals of battery degradation (eg, from cathode degradation, anode degradation) or other conditions of interest (such as lithium plating). Survey academic literature to identify and implement algorithms based on emerging research
- Battery Status Estimation – Work with BMS team to develop on-line methods of estimating battery health based on outputs from BMS as well as other sources of information available from the vehicle.
- 10+ years experience in a technical field with leadership responsibility
- 7+ years of work experience in data science, with 10 preferred.
- Demonstrated experience developing and launching analytic platforms based on data science
- Experience building capable organizations
- Experience in automotive or battery strongly preferred
- Experience or education in a physical science preferred
- MS or PhD required in Computer Science, Mathematics, Chemistry, or Chemical Engineering preferred
- Strong quantitative skills
- Strong communication skills
- Strong leadership skills
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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