Senior Data Scientist, Marketing Measurement
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Job Description
Senior Data Scientist scaling Labcorp OnDemand’s marketing measurement, attribution, and experimentation. Building econometric models and analytics capabilities for Labcorp’s healthcare diagnostics business.
Responsibilities:
- Lead Labcorp OnDemand's marketing measurement strategy and establish scalable, privacy-compliant performance tracking frameworks across marketing channels
- Partner with Marketing, Data Engineering, IT, Privacy, and Analytics teams to build a unified marketing data model
- Define and govern KPI definitions, event taxonomies, attribution methodologies, tagging frameworks, and campaign tracking standards
- Develop and evolve reporting capabilities for executive, marketing, and analytics stakeholders
- Build and maintain multi-touch attribution models
- Lead evaluation, development, and optimization of Marketing Mix Modeling capabilities
- Design and execute incrementality studies, lift tests, geo-based experiments, and other measurement frameworks
- Develop predictive models and forecasting capabilities for customer acquisition, lifetime value analysis, and growth planning
- Analyze full-funnel performance and identify opportunities to improve marketing efficiency, effectiveness, and ROI
- Translate analytical findings into business recommendations for marketing and executive stakeholders
- Evaluate measurement technologies, analytics platforms, and external partners
- Serve as subject matter expert for marketing measurement, attribution, experimentation, and media effectiveness
- Support development of a scalable marketing analytics and data science function
- Drive innovation in marketing analytics and optimization methodologies
Requirements:
- Bachelor's degree in Statistics, Economics, Econometrics, Mathematics, Data Science, Computer Science, or Analytics
- 7 or more years of experience in marketing analytics, data science, marketing measurement, econometrics, or media effectiveness
- Experience developing or managing Marketing Mix Models (MMM)
- Experience with incrementality testing, geo-experiments, lift studies, and causal measurement methodologies
- Experience working in healthcare, diagnostics, eCommerce, consumer health, or highly regulated industries
- Familiarity with Freshpaint, Adobe CJA, Databricks, Snowflake, and customer data platforms
- Experience evaluating or managing third-party measurement vendors and analytics partners
- Experience leading complex analytics initiatives and influencing senior stakeholders through data-driven recommendations
- Strong background in digital marketing measurement, attribution, experimentation, and performance analytics
- Experience working cross-functionally with marketing, technology, analytics, and data engineering teams
- Advanced statistical modeling and econometric analysis
- Expertise in experimental design, causal inference, Bayesian statistics, and hypothesis testing
- Strong proficiency in Python and SQL
- Experience with visualization and reporting tools such as Power BI, Tableau, or similar platforms
- Familiarity with Marketing Mix Modeling frameworks, attribution methodologies, and marketing analytics best practices
- Experience building predictive models and machine learning solutions in production environments
Benefits:
- Annual bonus eligibility
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Short-term disability (STD)
- Long-term disability (LTD)
- 401(k)
- Paid Time Off (PTO) or Flexible Time Off (FTO)
- Tuition Reimbursement
- Employee Stock Purchase Plan
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