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 analyse 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 analyse large‑scale media and healthcare datasets. Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modelling, 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 modelling 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. About you 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 modelling, multi‑touch attribution, incrementality testing, lift studies, and/or predictive modelling. Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analysing, and modelling large‑scale datasets. Experience with SAS, SPSS, or similar statistical tools preferred. 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 modelling 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 What we can offer You will receive a 401K 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, recognise 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 programme and personalised 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. We encourage all applicants to read our candidate privacy notice before applying to Avalere Health. #J-18808-Ljbffr Avalere