Data Scientist

Rivian
United States
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours
Languages
English, Serbian
Job source

Tech stack

Data Analysis Cyber Security Computer Programming Information Engineering Data Mining Data Visualization Fraud Prevention and Detection Statistical Hypothesis Testing Python (Programming Language) NumPy Cloud Services Standard Sql
+7 more
Tableau (Software) Data Processing Pandas Information Technology Data Analytics Looker Analytics Data Pipelines

Job description

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., Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status.

Rivian and Volkswagen Group Technologies 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 and Volkswagen Group Technologies” 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 and Volkswagen Group Technologies 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) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law.

Rivian and Volkswagen Group Technologies 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 and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies’ service providers, including providers of background checks, staffing services, and cloud services.

Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, 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.

If you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment.

Requirements

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., * 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., Please see our Candidate Data Privacy Notice (English) and Candidate Data Privacy Notice (Serbian) for more information.

Benefits & conditions

Full-time positions include base salary, eligibility for an annual performance bonus, and eligibility for equity.

In addition to base salary, Rivian and Volkswagen Group Technologies offers benefits tailored to the local market. For more information on the benefits available for full-time employees, check out our Global Benefits Site.

About the company

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

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