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Associate Director Media Data Science

Assistant director
Full Time
Application ends: August 8, 2026
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Job Overview

  • Date Posted
    May 8, 2026
  • Location
    Remote
  • Expiration date
    August 8, 2026

Job Description

JOB  DETAILS

Requirements
  • 6+ years of experience in data science, advanced analytics, media measurement, or marketing analytics, preferably within healthcare, pharma, life sciences, or another highly regulated industry
  • Hands-on experience building, running, and interpreting statistical models, including linear regression, marketing mix modeling, multi-touch attribution, incrementality testing, lift studies, and/or predictive modeling
  • Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analyzing, and modeling large-scale datasets
  • Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, PurpleLab, Experian, Medicaid, claims data, identity-based data, or similar sources
  • Strong Tableau and/or Looker skills, with the ability to develop reporting solutions that support both detailed analysis and executive-level decision-making
  • Strong communication and storytelling skills, including the ability to translate complex modeling outputs into clear, actionable business narratives for clients and senior stakeholders
  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field required; Master’s degree preferred
Responsibilities
  • Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies
  • Build, run, and refine hands-on data science models to evaluate media effectiveness, including linear regression, marketing mix models, attribution models, predictive models, and other statistical approaches
  • Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact
  • Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic business outcomes and promotional KPIs
  • Query, manipulate, and structure large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture
  • Use SQL, Python, R, and/or other statistical tools to clean, transform, model, and analyze large-scale media and healthcare datasets
  • Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modeling, analysis, and validation where appropriate
  • Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting
  • Translate statistical modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance
  • Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders
  • Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks, model outputs, and reporting solutions are aligned with business objectives
  • Mentor analysts and foster a culture of innovation, rigor, technical excellence, and cross-functional partnership within the data science function
Desired Qualifications
  • Master’s degree preferred
  • Experience with SAS, SPSS, or similar statistical tools preferred

 

 

 

 

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