Associate Director, Media Data Science

What You'll Do

• 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, Purple Lab, 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.

• 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 with SAS, SPSS or similar statistical tools preferred.
• Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, Purple Lab, 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.

$120,000 - $165,000 a year

You will receive a 401(k) plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well‑being day, recognize 9 public holidays, along with gifted end‑of‑year holidays and an early summer Friday finish in June, July and August.

Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave and fertility policies provide support across every stage of your family‑planning journey. You can also benefit from continuous opportunities to professionally develop with on‑demand training, support and global mobility opportunities across the business.