Senior Data Scientist, Marketing Measurement

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Oversee the marketing measurement strategy for Labcorp OnDemand and establish scalable, privacy-compliant frameworks for performance tracking across various marketing channels.

• Collaborate with Marketing, Data Engineering, IT, Privacy, and Analytics teams to create a cohesive marketing data model.

• Define and manage key performance indicator (KPI) definitions, event taxonomies, attribution methodologies, tagging frameworks, and standards for campaign tracking.

• Develop and enhance reporting capabilities for executive, marketing, and analytics stakeholders.

• Create and sustain multi-touch attribution models.

• Lead the assessment, development, and optimization of Marketing Mix Modeling capabilities.

• Design and implement 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 to enhance marketing efficiency, effectiveness, and return on investment.

• Convert complex analytical insights into actionable business recommendations.

• Assess measurement technologies, analytics platforms, and external partnerships.

• Act as a subject matter expert in marketing measurement, attribution, experimentation, and media effectiveness.

• Assist in the development of a scalable marketing analytics and data science function.

• Promote continuous innovation in marketing analytics and optimization methodologies.

⛳️ Requirements

• Bachelor's degree in Statistics, Economics, Econometrics, Mathematics, Data Science, Computer Science, or Analytics.

• A minimum of 7 years of experience in marketing analytics, data science, marketing measurement, econometrics, or media effectiveness.

• Proficiency in developing or managing Marketing Mix Models (MMM).

• Experience with incrementality testing, geo-experiments, lift studies, and causal measurement methodologies.

• Background in healthcare, diagnostics, eCommerce, consumer health, or other highly regulated industries.

• Knowledge of Freshpaint, Adobe CJA, Databricks, Snowflake, and customer data platforms.

• Experience in evaluating or managing third-party measurement vendors and analytics partners.

• Proven track record in leading complex analytics initiatives and influencing senior stakeholders through data-driven insights.

• Strong foundation in digital marketing measurement, attribution, experimentation, and performance analytics.

• Experience collaborating cross-functionally with marketing, technology, analytics, and data engineering teams.

• Advanced skills in 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 best practices in marketing analytics.

• Experience in 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.