Senior Data Scientist, Marketing Measurement

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

📋 Description

• Spearhead Labcorp OnDemand's marketing measurement approach and create scalable, privacy-compliant performance tracking systems across various marketing channels.

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

• Define and oversee KPI definitions, event taxonomies, attribution methods, tagging frameworks, and standards for campaign tracking.

• Enhance and develop reporting capabilities for executives, marketing teams, and analytics stakeholders.

• Construct and maintain multi-touch attribution models.

• Direct the assessment, development, and refinement of Marketing Mix Modeling capabilities.

• Design and implement incrementality studies, lift tests, geo-based experiments, and additional measurement frameworks.

• Create predictive models and forecasting capabilities for customer acquisition, lifetime value analysis, and growth strategies.

• Evaluate full-funnel performance and uncover opportunities to enhance marketing efficiency, effectiveness, and ROI.

• Convert analytical insights into actionable business recommendations for marketing and executive stakeholders.

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

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

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

• Propel 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.

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

• Familiarity 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 assessing or managing third-party measurement vendors and analytics partners.

• Background in leading complex analytics projects and influencing senior stakeholders with data-driven insights.

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

• Experience working collaboratively with marketing, technology, analytics, and data engineering teams.

• Advanced skills in statistical modeling and econometric analysis.

• Proficiency in experimental design, causal inference, Bayesian statistics, and hypothesis testing.

• Strong command of Python and SQL.

• Experience with visualization and reporting tools like Power BI, Tableau, or equivalent platforms.

• Familiarity with Marketing Mix Modeling frameworks, attribution methods, and marketing analytics best practices.

• Experience in developing predictive models and machine learning solutions in production settings.

🏝️ 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.