Sr. Data Scientist, Demand Decision Systems

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

This is a technical individual contributor role that designs, builds, and operates the demand-side modeling and simulation systems for Rivian’s remarketing business. The role develops production forecasting models for order volume, market sizing, price sensitivity, and customer segmentation, implemented in Python and Databricks within Git-versioned repositories with code review, automated testing, and CI/CD. Model outputs drive sales strategy, product positioning, and demand planning for the Pre-Owned business.

The Sr. Data Science, Demand Decision Systems role combines applied data science, analytics engineering, and product ownership: the role both engineers the forecasting systems and is accountable for the quality of the demand decisions they inform. Success is measured by the technical robustness of the systems built and the integrity of the plans they produce.

Responsibilities

• Design, build, and operate production forecasting and simulation systems. Develop Python-based simulation and forecasting models in Databricks as a member of a highly technical team designing interconnected models. Work in Git-versioned repositories with merge-request review, automated testing, and CI/CD pipelines (GitLab), and apply AI-assisted and agentic development workflows as a standard part of the engineering stack.
• Statistical and machine learning model development. Design, validate, and maintain the models that drive demand decisions: time-series order volume forecasting, price sensitivity and willingness-to-pay estimation, customer segmentation, and demand-sensing models. Apply statistical, machine learning, and deep learning methods where appropriate, with backtesting and production performance monitoring.
• Demand data products and pipelines. Build and maintain the data models and pipelines that describe demand, covering sales transactions, vehicle configuration, geographic and pricing signals, and customer attributes, with data contracts, tests, and documentation that allow downstream decision systems and planning tools to consume them reliably.
• AI-augmented engineering. Apply AI-assisted and agentic development workflows as a first-class part of the engineering stack. Evaluate and integrate AI tooling into production engineering workflows and set the patterns the team follows.
• Market sizing and demand-sensing models. Build the models that size the market for used Rivians and competitive vehicles, project market and environment changes, and quantify where and how demand is shifting, including how and where competitors sell used Rivians. Maintain authoritative, versioned market-size and demand baselines consumed by long-range planning.
• Supply-demand balancing. Model the interaction between incoming vehicle supply and demand levers to engineer healthy future sales volumes. Work with supply-focused colleagues to integrate supply constraints, and quantify the risk, cost, and expected impact of proposed demand-generation actions through scenario simulation.
• Operationalize model outputs with business partners. Translate model outputs into pricing, positioning, and sales-strategy actions with marketing and sales partners, and align with the team on decision-system and long-range planning tool design.

Qualifications

• Proficiency with Python, SQL, and Databricks (or equivalent warehouse/lakehouse platform); experience with dbt or equivalent transformation frameworks.
• Experience with Git-based engineering workflows, code review, and CI/CD pipelines (GitLab or equivalent).
• Demonstrated experience building and operating production forecasting or demand models end-to-end, including data modeling, pipeline orchestration, model validation, testing, and deployment.
• Demonstrated ability to design and validate applied statistical and machine learning models, including time-series forecasting, demand modeling, segmentation, or elasticity estimation.
• Experience in a technical demand-forecasting, marketing science, or sales-forecasting role (such as data science on a marketing team or quantitative forecasting at a sales-driven company).
• Demonstrated ability to translate ambiguous business questions into production data products and durable models.

Preferred Qualifications

• Bachelor’s degree or higher in a quantitative or technical field (Computer Science, Data Science, Statistics, Mathematics, Industrial Engineering, or similar).
• Experience applying deep learning methods to forecasting, segmentation, or demand-sensing problems.
• Experience integrating external APIs and third-party data sources into production data systems.
• Experience with AI-assisted development workflows, agentic coding tools, and integrating AI tooling into production engineering processes.
• Experience in automotive, marketplace, e-commerce, or adjacent customer-facing domains.
• Familiarity with BI and analytics tools such as Hex, Looker, or equivalent.

Pay Disclosure

The salary range for this role is $146,900 to $183,600 for Palo Alto, CA based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs.

The successful candidate may be eligible for annual performance bonus and equity awards.

We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees. You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Plan if you meet certain eligibility requirements. Full-time employee coverage is effective on their first day of employment. Part-time employee coverage is effective the first of the month following 90 days of employment. More information about benefits is available at rivianbenefits.com.

You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee). This job is not expected to be closed any sooner than August 31, 2026.

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 [email protected].

Candidate Data Privacy and Technology

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.

How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Rivian uses iCIMS Talent Cloud Artificial Intelligence (TCAI) and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role.

AI does not make hiring decisions: Qualified candidate applications are reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.

Participation in AI profile matching is entirely voluntary. If you prefer that your profile not be used in this process, you can opt out at any time. Opting out means your profile will be excluded from automated matching and will not be surfaced for additional roles through this system. Your current application remains active and will not be affected in any way.

Please note that we are currently not accepting applications from third party application services.