Director, Data Science

Publicis Health Media (PHM) is hiring a Director to deliver advanced analytics and audience solutions for pharmaceutical and healthcare clients. The role leads statistical modeling, machine learning, and media measurement work, translating complex data into actionable insights while partnering with client and cross-functional teams.

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 agency's analytics capabilities and offerings

Skills

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field required
• 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
• Master's degree
• 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

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Disability coverage
• 401K
• Parental and family care leave
• Family forming assistance
• Tuition reimbursement
• Flexible time off
• For regular roles: medical coverage, dental, vision, disability, 401k, and paid time off
• Hybrid work arrangement

Company Overview

Company H1B Sponsorship