About Rivian 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 Are you a curious, analytically-minded data scientist eager to grow your skills in a fast-moving environment? Rivian Volkswagen's Vehicle Access team is looking for an entry-level Data Scientist to join our expanding data science function. This is an opportunity to learn from experienced engineers and scientists, contribute to real-world vehicle data pipelines, and begin building the skills that power intelligent, customer-facing features. About the Team: The Vehicle Access team innovates how customers interact with their vehicles. Our data science team is small and growing, focused on system health, issue prediction, and personalizing the vehicle access journey. As an early-career member of the team, you will learn our data foundations, contribute to ongoing analyses, and develop your craft alongside experienced data scientists and Responsibilities Data Engineering & Analytics Learn and document raw vehicle access signals, building familiarity with the data landscape under the guidance of senior team members. Assist in maintaining and improving existing data pipelines that transform raw data into aggregated datasets used by product and engineering teams. Support the creation and upkeep of health-monitoring dashboards (Tableau, Hex, or Looker), ensuring data accuracy and helping validate instrumentation. Conduct exploratory data analysis on vehicle access datasets to surface early-stage insights and flag anomalies. Statistical analysis & experimentation Apply foundational statistical methods — including hypothesis testing, descriptive statistics, and confidence interval calculation — to well-defined analytical tasks. Support pre-launch baseline analyses by computing performance metrics to help validate systems before feature deployment, with guidance from senior scientists. Assist in testing internal statistical tooling, helping to validate outputs and document methodology. Professional excellence & ownership Complete assigned tasks reliably and on time, demonstrating accountability for personal deliverables. Ask clarifying questions, embrace feedback, and collaborate effectively within the team. Contribute to team documentation, code walkthroughs, and knowledge-sharing discussions. Develop curiosity and a learning mindset in the evolving EV space, proactively seeking to understand the business context behind your work. Qualifications What you'll bring: Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field. 1+ years of experience in a data science, data analytics, or data engineering role (internship experience counts). Working knowledge of SQL for data extraction and basic manipulation. Foundational programming skills in Python, including familiarity with data manipulation libraries such as Pandas or NumPy. Basic understanding of statistics and probability, including descriptive statistics, sampling, and hypothesis testing concepts. Exposure to data visualization tools (Tableau, Looker, Hex, or similar) — coursework or personal projects welcome. Strong attention to detail and a commitment to data accuracy. Eagerness to learn in a fast-paced, ambiguous environment with a positive, can-do attitude. Clear written and verbal communication skills, with the ability to explain findings to teammates. Interest in or curiosity about the Electric Vehicle (EV) industry is a plus. 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. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.
Data Scientist - Vehicle Access
Entry-level Data Scientist role focused on vehicle access data pipelines, system health, issue prediction, and personalizing the vehicle access journey. Responsibilities include data engineering, analytics, statistical analysis, and supporting pre-launch analyses.
What you'd actually do
- Learn and document raw vehicle access signals, building familiarity with the data landscape under the guidance of senior team members.
- Assist in maintaining and improving existing data pipelines that transform raw data into aggregated datasets used by product and engineering teams.
- Support the creation and upkeep of health-monitoring dashboards (Tableau, Hex, or Looker), ensuring data accuracy and helping validate instrumentation.
- Conduct exploratory data analysis on vehicle access datasets to surface early-stage insights and flag anomalies.
- Apply foundational statistical methods — including hypothesis testing, descriptive statistics, and confidence interval calculation — to well-defined analytical tasks.
Skills
Required
- Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field.
- 1+ years of experience in a data science, data analytics, or data engineering role (internship experience counts).
- Working knowledge of SQL for data extraction and basic manipulation.
- Foundational programming skills in Python, including familiarity with data manipulation libraries such as Pandas or NumPy.
- Basic understanding of statistics and probability, including descriptive statistics, sampling, and hypothesis testing concepts.
- Exposure to data visualization tools (Tableau, Looker, Hex, or similar) — coursework or personal projects welcome.
- Strong attention to detail and a commitment to data accuracy.
- Eagerness to learn in a fast-paced, ambiguous environment with a positive, can-do attitude.
- Clear written and verbal communication skills, with the ability to explain findings to teammates.
Nice to have
- Interest in or curiosity about the Electric Vehicle (EV) industry is a plus.