Senior Data Scientist - Vehicle Access at Rivian

What you'd actually do

Define the data foundation by documenting raw vehicle signals and building efficient, automated pipelines to transform raw data into aggregated datasets that drive actionable insights for consumption by both product and engineering teams.

Collaborate with product teams to define KPIs and deploy health-monitoring dashboards (Tableau, Hex, Looker) while ensuring rigorous validation of all instrumentation and insights.

Build internal tools to automate sample size determination, statistical significance testing, and the selection of appropriate methodologies for specific analyses.

Develop processes to compute means and confidence intervals for performance metrics to validate systems before feature deployment.

Take full ownership of projects from inception to delivery, navigating ambiguity with a proactive approach to solve complex business and technical challenges.

Skills

Required

SQL
Python
Pandas
NumPy
Tableau
Hex
Looker
Data Engineering
Statistics
Probability
Descriptive Statistics
Inferential Statistics
Sampling Methods
Hypothesis Testing
Regression Analysis
Data Analytics
Exploratory Data Analysis
Data Visualization
Reporting
Cross-functional Collaboration
Communication Skills

Nice to have

Machine Learning Concepts
Electric Vehicle (EV) Industry

What the JD emphasized

Expert proficiency in SQL for data extraction, manipulation, and analysis.

Strong programming skills in Python, including experience with data manipulation libraries (e.g., Pandas, NumPy).

Hands-on experience building and deploying dashboards using one or more tools like Tableau, Hex, and/or Looker.

Solid understanding of data engineering principles and best practices.

Strong foundational knowledge of statistics and probability with an understanding of descriptive and inferential statistics, sampling methods, hypothesis testing, regression analysis.

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 passionate and skilled Data Scientist looking to make a significant impact on the future of electric vehicles? Rivian Volkswagen's Vehicle Access team is seeking a talented individual to join our growing data science function. This is a unique opportunity to shape our data strategy from the ground up, transforming raw vehicle data into actionable insights and intelligent systems that enhance the customer experience. About the Team: The Vehicle Access team is at the forefront of innovating how customers interact with their vehicles. Our data science team is small but growing, with a focus on leveraging data to understand system health, predict issues, and personalize the vehicle access journey. We work on establishing the strategic direction for data science within the team, and will have the opportunity to make a tangible impact on our processes and products. The Opportunity: Work with rich datasets with hundreds of vehicle access signals that hold immense potential for generating insights that drive customer impacting feature launches. As a Data Scientist on our team, you will play a crucial role in unlocking this potential. This is a pivotal moment for the Rivian Volkswagen joint venture, and you'll play a significant part in defining and shaping the data strategy for vehicle access. You will work closely with product and engineering teams to build a robust data foundation and generate critical insights. Responsibilities Data Engineering & Analytics Data Pipeline Development: Define the data foundation by documenting raw vehicle signals and building efficient, automated pipelines to transform raw data into aggregated datasets that drive actionable insights for consumption by both product and engineering teams. Metric Strategy & Visualization: Collaborate with product teams to define KPIs and deploy health-monitoring dashboards (Tableau, Hex, Looker) while ensuring rigorous validation of all instrumentation and insights. Statistical Automation & Experimental Design Automated Testing Toolkit: Build internal tools to automate sample size determination, statistical significance testing, and the selection of appropriate methodologies for specific analyses. Pre-Launch Baseline Analysis: Develop processes to compute means and confidence intervals for performance metrics to validate systems before feature deployment. Professional Excellence & Ownership Strategic Problem Solving: Take full ownership of projects from inception to delivery, navigating ambiguity with a proactive approach to solve complex business and technical challenges. Collaborative Growth: Work cross-functionally to align data requirements with business needs while maintaining a humble, continuous learning mindset in the evolving EV space. Qualifications Bachelor's degree (Master's preferred) in a technical field such as Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related discipline. 5+ years of experience in a data science/engineering role. Expert proficiency in SQL for data extraction, manipulation, and analysis. Strong programming skills in Python, including experience with data manipulation libraries (e.g., Pandas, NumPy). Hands-on experience building and deploying dashboards using one or more tools like Tableau, Hex, and/or Looker. Proven experience in data analytics, including exploratory data analysis, data visualization, and reporting. Solid understanding of data engineering principles and best practices. Strong foundational knowledge of statistics and probability with an understanding of descriptive and inferential statistics, sampling methods, hypothesis testing, regression analysis. Ability to collaborate effectively with cross-functional teams, including engineers and product managers. Excellent communication skills, both written and verbal, with the ability to translate complex data insights into clear and actionable recommendations. A keen eye for detail and a commitment to data accuracy and integrity. Ability to thrive in a fast-paced, ambiguous environment, self-navigate, and prioritize tasks effectively. Experience in or a strong interest in the Electric Vehicle (EV) industry is highly desirable. Familiarity with machine learning concepts and algorithms. Join us in revolutionizing vehicle access and contributing to the future of sustainable transportation! 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.