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.
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.
Nice to Have
- Experience with SAS, SPSS, or similar statistical tools preferred.
Benefits
- 401K plan with employer match contribution up to 4% (immediately vested)
- life insurance
- disability coverage
- medical, dental, and vision plans
- flexible working arrangements, including hybrid and remote work
- option to work from anywhere across the globe two weeks each year
- 20 vacation days plus one personal well-being day
- 9 public holidays
- gifted end-of-year holidays
- early Summer Friday finish in June, July, and August
- free counselling through employee assistance program
- personalized health support
- enhanced maternity, paternity, family leave, and fertility policies
- on-demand training
- support for professional development
- global mobility opportunities
Work Arrangement
Hybrid — London, Manchester, Washington, D.C., New York
Additional Information
- Flexible approach to working allows global teams to decide where to work, whether in-office or at home based on team and client need.
- Homeworkers are equally supported with dedicated social opportunities and resources.
- Employees are supported through six Employee Network Groups: Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity.
- Accredited Fertility Friendly employer.
- Part of the Disability Confident Scheme, ensuring fair interviews for individuals with disabilities, long-term health conditions, or who are neurodiverse.
- Candidates can request adjustments during application if needed.
