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 Rivian is seeking a Senior Data Scientist to drive advanced analytics within the Sales organization. The successful candidate will translate business needs into analytical questions, conduct data exploration, and perform rigorous analysis of sales and sales programs. This role also involves designing and analyzing commission-based compensation models for sales agents, as well as building models and simulations to inform decisions on processes and measure program effectiveness. Responsibilities Consult with internal stakeholders to determine the best application of descriptive and statistical analysis to support Rivian's sales objectives. Analyze sales performance metrics, market trends, and sales strategies to support sales organization initiatives. Collaborate closely with sales leadership, HR, finance, and other stakeholders to understand sales strategies, gather input, and ensure incentive plans align with overall business objectives. Regularly evaluate the effectiveness of compensation plans by monitoring sales performance, identifying areas for improvement, and proposing adjustments to drive desired behaviors and results. Understand process flows, analyze data, perform Design of Experiments, develop simulation models, and represent findings to enhance the efficacy of sales programs and measure their incremental impact. Apply linear models, AI/machine learning algorithms, time series forecasting, and simulation models to develop targeted sales initiatives. Partner with the Demand Planning team to develop bottom-up forecast models for the Sales team that complement top-down forecasts. Provide insights and data-driven recommendations to increase gross orders, reduce cancellations, improve targeting, enhance sales velocity, and improve the customer experience. Continuously enhance models to ensure ongoing alignment with business objectives. Examine key business data by identifying, cleaning, and providing analysis and insights. Validate data integrity and create new data where none currently exists. Generate insights and present findings to senior management using data visualization and presentation tools to make business recommendations. Streamline information accessibility and data normalization through lean and continuous improvement methodologies. Key collaboration partners include Inside Sales and Field Sales teams, Marketing, Product Management, Communications, IT, Finance, Treasury, Digital Technology, business line managers (e.g., Insurance, Financing), Customer Service, and Commercial Operations. Qualifications Bachelor's degree in Statistics, Data Science, or a related field. 4+ years of experience applying advanced statistical techniques and concepts, including regression, decision trees, ensemble models, time series forecasting, linear programming, and optimization. Proficiency in programming languages such as Python, R, or Java. Skilled in SQL and data visualization tools like Tableau. Familiarity with AWS, Databricks, or other cloud databases is preferred. Strong understanding of sales compensation, incentives, territory planning, and experience generating reports from Salesforce (Sales and Service Cloud) Contacts, Leads, and Opportunities. Excellent communication skills, with the ability to engage with senior finance leaders and build relationships with internal stakeholders