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Marketing Data Scientist

webuyanycar.com · Philadelphia, US

Job description

Marketing Data Scientist

CarGroup Holdings LLC (webuyanycar.com® USA) Why this role is different* Own theanalytics and modeling strategybehind customer acquisition and marketing investment decisions

  • Directly influencerevenue, CAC, LTV, and marketing ROIat a company-wide level
  • Partner withMarketing, Finance, and Executive Leadershipto drive measurable business outcomes
  • Build and scaleexperimentation frameworks and decision systems, not just reporting

Why Join Us* Direct impact on company growth and customer acquisition strategy

  • Opportunity to shape the evolution of data-driven decision-making across marketing
  • Competitive salary and comprehensive benefits package (medical, dental, vision, 401(k) with match, PTO, parental leave, employee vehicle programs)
  • Collaborative and inclusive culture that values innovation and diverse perspectives

Get to know us CarGroup Holdings LLC, operating as webuyanycar.com® USA, is a leading car buying service focused on delivering a fast, safe, and transparent selling experience. We are investing heavily in advanced analytics to optimize marketing performance and drive profitable growth. https://uscargroup.sharepoint.com/sites/HR/\_layouts/15/Doc.aspx?sourcedoc\={BDA776E5\-C00D\-4E55\-B4D0\-725777528AD5}\&file\=Marketing Data Scientist v2.20.26.docx&action=default&mobileredirect=true The Role The Marketing Data Scientist will own the analytical and modeling strategy that powers customer acquisition and marketing investment decisions. This role is responsible for transforming large-scale marketing and customer data into predictive models, experimentation frameworks, and decision systems that directly impact:* Revenue growth

  • Customer lifetime value (LTV)
  • Return on marketing spend (ROI)

This position plays a critical role in optimizing multi-channel acquisition strategy and influencing company-wide growth initiatives. What You Will Do* Design and deploy predictive models that optimizecustomer acquisition, LTV, andmarketing spendallocation

  • Build and refine**experimentation frameworks (A/B testing, causal inference)**to measure true incremental impact
  • Analyze customer behavior and identify opportunities to driveincremental revenue and efficiency
  • Partner with Marketing, Finance, and Leadership to align insightswithbusiness strategy and profitability goals
  • Translate complex analyses intoclear, executive-ready recommendations
  • Establish best practices formarketing analytics, model monitoring, and continuous optimization
  • Collaborate with Data Engineering and IT to ensuredata quality, integrity, and scalability

What We’re Looking For* 3+ years in data science, marketing analytics, or a related quantitative role

  • Strong proficiency in Python or R and SQL
  • Experience applyingpredictive modeling and statistical methods to real business problems
  • Hands-on experience with:
  • A/B testing and experimentation design
  • Customer segmentation and targeting
  • Marketing performance metrics (CAC, LTV, ROI, attribution)
  • Experience building and deploying models in production environments
  • Strong business acumen with a demonstrated ability totranslate analytics into revenue impact
  • Excellent communicationskills—abilityto influence non-technical stakeholders
  • Preferred: experience with modern ML frameworks, visualization tools, and cloud platforms

Physical Requirements* Prolonged periods of sitting and working at a computer

  • Ability tolift upto 15 pounds as needed

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