Data Scientist

About DealerOn

We are an online marketing company providing website and agency services to automotive dealerships across North and South America. We are known for our cutting-edge products that streamline the car buying process and provide an experience both shoppers and dealers love. Our business model is working: we were recognized on the Inc. 5000 list of fastest growing companies six years in a row, expanding to over 30 manufacturer relationship, and over 5,000 dealer partners. We are proud of what our company has done, and it’s all due to the talented and diverse team we’ve been lucky enough to assemble.

Job Description

Core Functions

• Serve as the embedded analytics partner to Product teams; define feature success
• metrics before launch and measure outcomes after.
• Design and execute platform experiments — page templates, form flows,
• merchandising treatments, search experience — including power analysis and preregistered
• success criteria.
• Deliver clear reads on whether launches performed, including negative results.
• Apply quasi-experimental methods where controlled tests are not feasible: stagedrollout
• cohorts, difference-in-differences, matched comparisons, holdouts.
• Produce the analysis behind OEM and enterprise dealer group business reviews,
• and present those findings in the meeting alongside Account Management and the
• Director, who own the relationships.
• Answer network-level OEM questions: dealer base performance against benchmark,
• lagging markets and their causes, digital program and co-op spend effectiveness.
• Build and validate predictive models: lead scoring, days-to-sell and inventory turn,
• renewal risk, market-level demand forecasting.
• Partner with Data Engineering to move models and pipelines into production.
• Build the cross-network benchmarks used by OEM and enterprise account teams.
• Partner with Marketing to produce original research for external publication —
• industry studie