Data Analyst II

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.

We are looking for a Data Analyst/Scientist who will support our charging team and cross‑functional partners through driving business planning, operational and product development decisions with predictive insights derived from the analysis of a wide range of high‑volume, high‑velocity, structured and unstructured data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.

They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.

They must have an ability to ingest business needs and drive business results with their data‑based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

• Mine and analyze data from multiple sources to drive optimization and improvement of product development and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, cost reductions and other business outcomes.
• Build reliable, fast, and dynamic data tools, pipelines, and user‑facing applications.
• Contextualize data into clear reporting dashboards for various stakeholder groups.
• Mature exploratory data analysis projects into production‑grade software.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

• 0-2 years of experience manipulating data sets and building statistical models.
• Bachelor's, Master's Or PhD In Statistics, Mathematics, Computer Science or another quantitative field.
• Strong problem‑solving skills with an emphasis on product development.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Extensive experience developing data science software with Python and leveraging leading numerical and machine learning libraries including Num Py, Pandas, Scikit‑learn, and Plotly.
• Experience with cloud‑based services including Databricks and AWS.
• Familiarity with Linux, SQL, and Git.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Knowledge and experience in machine learning techniques: GLM/Regression, Random Forest, Boosting, Trees, Bayesian Optimization, etc.
• Exposure to or hands‑on experience with LLM application concepts such as retrieval, grounding, prompt/agent design, function/tool use, evaluation, safety/guardrails, and cost/latency optimization.
• Nice to haves:
  • Experience building user‑facing applications using Plotly Dash.
  • Experience with distributed data/computing tools:
    Spark, Databricks, etc.
  • Experience with DBT.
  • Interest in clean/renewable energy, electric vehicles, and charging.
  • Background/Intern experience in consulting, product or program management, technology, automotive, or energy

The salary range for this role is USD 116, for California based applicants. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of…