Sr. Data Science, Ops Decision Systems

Rivian
Palo Alto, CA, United States
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Continuous Integration Python (Programming Language) Operational Databases SQL Databases Gitlab Git Git Flow Data Analytics Databricks

Job description

Experteer Overview In this role you will design, build and operate production simulation and optimization systems for Rivian’s remarketing business. You will develop Python-based models in Databricks and own end-to-end data products that inform operational decisions. You’ll work within a tight, technically proficient team, using Git, CI/CD, and AI-assisted workflows to productionize insights. Your work directly supports cost-effective, data-driven vehicle disposition, logistics, and capacity planning. You’ll partner across functions to drive scalable, profitable outcomes. Compensation / Benefits * Design, build, and operate production simulation and optimization systems * Develop Python-based simulation models in Databricks * Collaborate in Git-driven workflows with MR reviews, tests, and CI/CD * Design and maintain models for capacity, throughput, operating expenses, and inventory disposition * Build data models and pipelines describing operational performance with robust data contracts * Apply AI-assisted development workflows and evaluate AI tooling for production engineering * Create multi-variable scenario models to optimize infrastructure and vehicle movement * Translate operational decisions into projected P&L outcomes across multi-year horizons * Coordinate with business partners and customer-focused colleagues to deploy recommendations Tasks * Python, SQL, and Databricks proficiency * Experience with Git-based workflows and CI/CD (GitLab or equivalent) * End-to-end ownership of production data infrastructure (models, pipelines, testing, deployment) * Ability to design/validate applied simulation and optimization models * Ability to reason about supply/demand constraints, depreciation, holding costs, and operating expense * Ability to translate ambiguous questions into production data products Key requirements * paid vacation * paid sick leave * life insurance * medical insurance * dental insurance * vision insurance

Requirements

Experteer Overview In this role you will design, build and operate production simulation and optimization systems for Rivian’s remarketing business. You will develop Python-based models in Databricks and own end-to-end data products that inform operational decisions. You’ll work within a tight, technically proficient team, using Git, CI/CD, and AI-assisted workflows to productionize insights. Your work directly supports cost-effective, data-driven vehicle disposition, logistics, and capacity planning. You’ll partner across functions to drive scalable, profitable outcomes. Compensation / Benefits * Design, build, and operate production simulation and optimization systems * Develop Python-based simulation models in Databricks * Collaborate in Git-driven workflows with MR reviews, tests, and CI/CD * Design and maintain models for capacity, throughput, operating expenses, and inventory disposition * Build data models and pipelines describing operational performance with robust data aaaaaa and * Apply AI-assisted development workflows and evaluate AI tooling for production engineering * Create multi-variable scenario models to optimize infrastructure and vehicle movement * Translate operational decisions into projected P&L outcomes across multi-year horizons * Coordinate with business partners and customer-focused colleagues to deploy recommendations Tasks * Python, SQL, and Databricks proficiency * Experience with Git-based workflows and CI/CD (GitLab or equivalent) * End-to-end ownership of production data infrastructure (models, pipelines, testing, deployment) * Ability to design/validate applied simulation and optimization models * Ability to reason about supply/demand constraints, depreciation, holding costs, and operating expense * Ability to translate ambiguous questions into production data products Key requirements * paid vacation * paid sick leave * life insurance * medical insurance * dental insurance * vision insurance

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