Marketing Data Scientist in Springfield, Pennsylvania at webuyanycar.com USA

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 including medical, dental, vision, 401(k) with company match, paid time off, parental leave, and 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. Currently, we are investing in advanced analytics to optimize marketing performance and drive profitable growth.

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, customer lifetime value, and return on marketing spend.

This position plays a critical role in optimizing multi-channel acquisition strategy and influencing company-wide growth initiatives.

We are unable to offer sponsorship for this position.

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What You Will Do

· Design and deploy predictive models that optimize customer acquisition, lifetime value (LTV), and marketing spend allocation across channels.

· Develop scalable machine learning solutions that improve targeting, segmentation, and personalization.

· Build and refine experimentation frameworks, including A/B testing and causal inference methodologies, to measure and validate marketing impact.

· Partner with Marketing, Finance, and Executive Leadership to align data insights with profitability and growth objectives.

· Identify opportunities to drive measurable incremental revenue through advanced analytics and modeling.

· Create clear, executive-ready insights that translate complex analysis into actionable strategy.

· Establish best practices for marketing analytics, model monitoring, and continuous optimization.

· Collaborate cross-functionally with Data Engineering and IT to ensure data integrity, accessibility, and scalability.

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What We’re Looking For

· 3+ years of experience in data science, marketing analytics, or a related quantitative role within a commercial business, preferably consumer-facing.

· Strong proficiency in Python or R and SQL and experience with statistical analysis tools (e.g., SAS, SPSS, or similar).

· Experience building and deploying machine learning models in production environments.

· Extensive practical expertise in predictive modeling, regression analysis, clustering, decision trees, neural networks, and classification methods, along with proficiency in frameworks such as TensorFlow and scikit-learn.

· Skilled in using data visualization tools like Tableau and Power BI, as well as database query languages such as SQL.

· Proficiency in big data technologies like Hadoop and Spark, as well as cloud platforms such as AWS, Azure, and Google Cloud.

· Experience designing and analyzing A/B tests and applying statistical methods for causal inference.

· Deep understanding of marketing performance metrics such as CAC, LTV, ROI, and attribution.

· Strong business acumen with a demonstrated ability to translate analytics into revenue impact.

· Excellent communication skills with the ability to interpret and communicate complex data analysis results in order to influence non-technical stakeholders.

Advanced degree (Master’s or PhD) in Data Science, Statistics, Mathematics, Engineering, or related quantitative field preferred.

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Physical Requirements:

· Prolonged periods of sitting at a desk and working on a computer.

· Must be able to lift to 15 pounds at times.

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