Senior Data Scientist, Marketing Measurement, Consumer Solutions

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives.

Senior Data Scientist, Marketing Measurement, Consumer Solutions

Labcorp is seeking a remote Senior Data Scientist, Marketing Measurement, Consumer Solutions, to join our team!

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.
• Evaluate measurement technologies, analytics platforms, and external partners to advance the organization's measurement capabilities.
• Serve as the subject matter expert for marketing measurement, attribution, experimentation, and media effectiveness.
• Support the development of a scalable marketing analytics and data science function, helping define future team structure, processes, and best practices.
• Drive continuous innovation in marketing analytics and optimization methodologies to support long-term business growth.

Minimum Qualifications:

• 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.

Preferred Qualifications:

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

Additional Job Standards:

• 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.

Skills and Competencies:

• 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.

About the Role

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