Senior Data Scientist, Marketing Measurement

Labcorp

. Lead Labcorp OnDemand's marketing measurement strategy and establish scalable, privacy-compliant performance tracking frameworks across marketing channels .

Posted 10/26/2026full-timeRemote • North Carolina • United StatesSenior💰 $115,000 - $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing measurement and analytics, with a strong focus on developing and optimizing Marketing Mix Models, predictive modeling, and performance tracking frameworks. Proficient in collaborating cross-functionally to drive data-driven recommendations and enhance marketing efficiency.

Highest-signal resume keywords

Marketing Mix Modeling (MMM)Incrementality TestingPredictive ModelingDigital Marketing MeasurementStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLAdvanced Statistical ModelingEconometric AnalysisCausal InferenceBayesian StatisticsHypothesis TestingAttribution MethodologiesPerformance AnalyticsExperimental Design

Soft Skills

Influencing Senior StakeholdersCross-Functional Collaboration

Tools & Technologies

FreshpaintAdobe CJADatabricksSnowflakePower BITableau

Industry Keywords

HealthcareDiagnosticsECommerceConsumer HealthHighly Regulated Industries

Tech Stack

Tools & technologies

PythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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