Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the embedded analytics collaborator for Product teams.

• Establish success metrics for features prior to their launch and assess outcomes post-launch.

• Design and implement platform experiments, including power analysis and predefined success criteria.

• Provide clear insights on launch performance, including unfavorable results.

• Utilize quasi-experimental methods when controlled testing is not an option.

• Generate analyses for OEM and enterprise dealer group business reviews and present findings alongside Account Management and the Director.

• Address network-level OEM inquiries regarding dealer performance, underperforming markets, contributing factors, and the effectiveness of digital programs and co-op spending.

• Develop and validate predictive models for lead scoring, time-to-sell, inventory turnover, renewal risk, and market-level demand forecasting.

• Collaborate with Data Engineering to implement models and pipelines into production.

• Create cross-network benchmarks for OEM and enterprise account teams.

• Work with Marketing to conduct original research for external publication.

• Oversee research methodology, analysis, and accuracy of figures.

• Serve as the technical author for sales enablement materials, conference and webinar content, and inquiries from the press or analysts.

• Transform recurring analyses into dashboards, templates, and documented workflows.

• Report platform issues identified in client data to Product, including those caused by DealerOn.

⛳️ Requirements

• 3–5 years of experience in analytics, data science, or analytics consulting.

• Proficient in advanced SQL — capable of writing and debugging complex analytical queries against a data warehouse independently.

• Knowledge of Python or R, with experience in pandas or dplyr and a statistical modeling library (statsmodels, scikit-learn, tidymodels).

• Understanding of experimentation and causal inference: test design, power analysis, and quasi-experimental methods when a clean test is not feasible.

• Experience with applied predictive modeling and evaluation against real baselines.

• Familiarity with working closely with product managers and engineers, adapting to their workflow.

• Proven experience in presenting analyses directly to senior business stakeholders and defending findings during questioning.

• Proficient in BI tools such as Tableau, Power BI, Looker, or similar.

• Effective use of AI coding assistants, coupled with the ability to verify their output.

• Automotive experience is not mandatory.

• Preferred: Experience in SaaS, digital marketing, agency, or automotive retail.

• Preferred: Knowledge of OEM digital programs, co-op, or tier-3 marketing.

• Preferred: Depth in marketing measurement, including attribution, incrementality testing, media mix modeling, GA4.

• Preferred: Familiarity with analytics engineering practices, such as dbt, warehouse modeling, and orchestration.

• Preferred: Experience with cloud warehouses like BigQuery, Snowflake, or Redshift.

• Must be a resident of the US.

• The successful candidate must pass a background check as a condition of joining the team.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Company-matched 401K plan.

• Flexible PTO and Sick Leave.

• 6 weeks of paid Parental Leave.

• 8 Paid National Holidays.

• Company-paid basic Life Insurance.

• Voluntary supplemental Life Insurance.

• Voluntary long-term/short-term disability insurance.

• Voluntary Pet Insurance.

• Optional Healthcare/Dependent Care FSA Account.