Data Scientist

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $86.1k - $128.7k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

DealerOn

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

🚘 Automotive

📣 Marketing

☁️ SaaS

💰 Private equity on 2020-02

Automotive • Marketing • SaaS

DealerOn is a digital marketing and software provider for automotive dealerships across North America. It offers the Cosmos website platform and a suite of services including responsive websites, automotive SEO, precision-targeted digital advertising, digital retailing, personalization, automation, lead generation, listings management, reporting & analytics (GA4-powered), compliance (consent and accessibility) and AI solutions (DealerOn Sidekick, OnPrompt). DealerOn serves independent dealers and multi-rooftop dealer groups, emphasizes lead generation and conversion optimization, and states it helps over 7,000 car dealers sell more cars more profitably.

📋 Description

• Serve as the embedded analytics partner to Product teams • Define feature success metrics before launch and measure outcomes after • Design and execute platform experiments, including power analysis and preregistered success criteria • Deliver clear reads on launch performance, including negative results • Apply quasi-experimental methods where controlled tests are not feasible • Produce analysis for OEM and enterprise dealer group business reviews and present findings alongside Account Management and the Director • Answer network-level OEM questions about dealer performance, lagging markets, causes, and digital program and co-op spend effectiveness • Build and validate predictive models for lead scoring, days-to-sell, inventory turn, renewal risk, and market-level demand forecasting • Partner with Data Engineering to move models and pipelines into production • Build cross-network benchmarks for OEM and enterprise account teams • Partner with Marketing to produce original research for external publication • Own research methodology, analysis, and figure accuracy • Serve as technical author for sales enablement material, conference and webinar content, and press or analyst enquiries • Convert recurring analyses into dashboards, templates, and documented pipelines • Escalate platform issues surfaced in client data to Product, including issues caused by DealerOn

🎯 Requirements

• 3–5 years in analytics, data science, or analytics consulting • Advanced SQL — complex analytical queries against a data warehouse, written and debugged unaided • Python or R, with pandas or dplyr and a statistical modelling library (statsmodels, scikit-learn, tidymodels) • Experimentation and causal inference: test design, power analysis, and quasi-experimental methods where a clean test is unavailable • Applied predictive modelling with evaluation against real baselines • Experience embedded with product managers and engineers, working to their cadence • Experience presenting analysis directly to senior business stakeholders and defending it under questioning • BI tool fluency: Tableau, Power BI, Looker or similar • Effective use of AI coding assistants, with the judgment to verify their output • Automotive experience is not required • Preferred: SaaS, digital marketing, agency, or automotive retail experience • Preferred: familiarity with OEM digital programs, co-op, or tier-3 marketing • Preferred: marketing measurement depth: attribution, incrementality testing, media mix modelling, GA4 • Preferred: analytics engineering practice: dbt, warehouse modelling, orchestration • Preferred: cloud warehouse experience: BigQuery, Snowflake, or Redshift • Must be a US resident • 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 + Sick Leave • 6 weeks 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