Senior Data Scientist, Marketing Measurement, Consumer Solutions

Responsibilities

• Lead Labcorp OnDemand's marketing measurement strategy, establishing scalable, privacy-compliant frameworks for performance tracking across all marketing channels.
• Partner with Marketing, Data Engineering, IT, Privacy, and Analytics teams to build a unified marketing data model connecting campaign, customer journey, and business outcome data.
• Define and govern KPI definitions, event taxonomies, attribution methodologies, tagging frameworks, and campaign tracking standards.
• Develop and evolve reporting capabilities that deliver actionable insights to executive, marketing, and analytics stakeholders.
• Build and maintain multi-touch attribution models to improve understanding of channel contribution and customer acquisition journeys.
• Lead the evaluation, development, and optimization of Marketing Mix Modeling (MMM) capabilities to inform budget allocation and investment decisions.
• Design and execute incrementality studies, lift tests, geo-based experiments, and other measurement frameworks to validate marketing effectiveness.
• Develop predictive models and forecasting capabilities to support customer acquisition, lifetime value analysis, and growth planning.
• Analyze full-funnel performance to identify opportunities to improve marketing efficiency, effectiveness, and return on investment.
• Translate complex analytical findings into clear business recommendations for marketing leaders and executive stakeholders.

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 modern marketing technology and data platforms including Freshpaint, Adobe CJA, Databricks, Snowflake, and customer data platforms.
• Experience evaluating or managing third-party measurement vendors and analytics partners.
• Demonstrated 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.

Preferred

• Advanced degree in Statistics, Economics, Econometrics, Data Science or Applied Mathematics.
• 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.

Benefits

• Benefits:  Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please  click here .