Marketing Data Scientist

Job Description

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. -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 refineexperimentation 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