Director, Data Science

PHM is the leading health media agency in the US built for the modern healthcare experience. Here industry depth meets media scale where data becomes direction where creativity and storytelling bring truth to life and where orchestration replaces fragmentation.

Dedicated to making brands discovered PHM redefines what media can do through data content and creativity. Because in modern healthcare the brands that are found are the ones that lead. And when brands lead advantage follows. Go deeper. Be found.

The Director Applied Data Science plays a key role in delivering advanced analytics and audience solutions for pharmaceutical and healthcare clients. Working closely with senior Data Science leadership this role applies to statistical modeling machine learning and AI-driven approaches to transform complex data into actionable insights that inform marketing strategy audience engagement and business decisions.

The Director serves as a technical lead across multiple client engagements partnering with cross-functional teams to develop privacy-compliant data-driven solutions. This individual combines strong analytical expertise with a consultative mindset and a passion for solving complex business challenges through data.

Key Responsibilities

• Lead the design development validation and deployment of statistical models predictive analytics and machine learning solutions for client and internal initiatives.
• Partner with client teams and internal stakeholders to understand business objectives audience strategies and measurement needs translating them into scalable analytical approaches.
• Analyze large complex datasets including HCP/NPI-level claims prescription and other healthcare data to develop actionable insights for audience segmentation targeting measurement optimization and commercial strategy while ensuring HIPAA and applicable privacy compliance.
• Apply advanced media measurement methodologies including marketing mix modeling (MMM) multi-touch attribution incrementality testing lift studies and experimental design to evaluate campaign effectiveness and optimize marketing investments.
• Apply advanced statistical methods and supervised and unsupervised machine learning techniques to solve marketing and business challenges including developing practical AI applications that improve insights workflow efficiency and decision-making.
• Leverage cloud-based data platforms and modern analytics environments to extract transform and analyze data from diverse sources.
• Develop clear presentations dashboards and visualizations that communicate analytical findings and strategic recommendations to technical and non-technical audiences.
• Drive automation of recurring analyses reporting and model monitoring to improve operational efficiency and scalability.
• Promote best practices in statistical analysis model validation documentation data quality and reproducible analytics.
• Collaborate across Strategy Media Technology Analytics and Client teams to deliver integrated data-driven solutions while mentoring Data Scientists and Analysts through technical guidance and coaching.
• Stay current on emerging analytics AI and healthcare marketing trends and contribute ideas that strengthen the agencys analytics capabilities and offerings.

Requirements

• Bachelors degree in Data Science Statistics Computer Science Mathematics Economics or a related quantitative field required; Masters degree preferred.
• 6 years of experience in data science statistical modeling machine learning predictive analytics or marketing analytics including leading complex analytics projects and providing technical leadership to cross-functional teams.
• Advanced proficiency in Python R SQL and modern data visualization tools.
• Experience working with cloud-based analytics platforms such as Azure Databricks Snowflake AWS or similar technologies.
• Experience applying AI and advanced analytics to solve complex business problems and improve marketing effectiveness.
• Strong knowledge of statistical modeling machine learning predictive analytics experimental design media measurement methodologies including marketing mix modeling attribution incrementality and lift testing and data visualization.
• Excellent communication and presentation skills with the ability to translate complex analytical concepts into clear actionable recommendations.

Preferred Qualifications

• Experience managing multiple client engagements and priorities in a fast-paced collaborative environment.
• Experience mentoring junior team members and promoting technical best practices.
• Experience in healthcare pharmaceutical life sciences or marketing analytics with familiarity with healthcare and pharmaceutical data sources such as HCP/NPI-level data medical and pharmacy claims prescription data and commercial healthcare datasets.
• Familiarity with healthcare data vendors and platforms including HealthVerity Symphony Health MMIT Komodo Health IQVIA PurpleLab or similar providers.
• Experience working in privacy-safe data environments including clean rooms and HIPAA-compliant environments with knowledge of PHI de-identified and limited datasets.

Our Publicis Groupe motto Viva La Différence means were better together and we believe that our differences make us stronger. It means we honor and celebrate all identities across all facets of intersectionality and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage dental vision disability 401K as well as parental and family care leave family forming assistance tuition reimbursement and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically please contact

All your information will be kept confidential according to EEO guidelines.

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