Director, Data Science

Director, Applied 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. Open to candidates in NYC, Philadelphia or Chicago.

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 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.
• Consult with client teams and internal stakeholders to understand business objectives, audience strategies, and measurement needs, translating those into scalable analytical approaches.
• Analyze large, complex datasets using privacy-compliant data sources to uncover actionable insights that inform audience segmentation, targeting, optimization, and campaign performance.
• Leverage healthcare-specific data assets, including HCP/NPI-level, claims, prescription, and other healthcare data sources, to develop actionable audience, measurement, and commercial insights while ensuring compliance with HIPAA and applicable privacy regulations.
• 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, predictive modeling, and supervised and unsupervised machine learning techniques to solve marketing and business challenges.
• Develop practical applications of AI and advanced analytics to improve insights, workflow efficiency, and decision-making.
• Leverage cloud-based data platforms and modern analytics environments to extract, transform, and analyze data from a variety of sources.
• Build 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 closely with Strategy, Media, Technology, Analytics, and Client teams to deliver integrated, data-driven solutions.
• Mentor Data Scientists and Analysts by providing technical guidance, coaching, and support for ongoing development.
• Stay current on emerging analytics, AI, and healthcare marketing trends, contributing ideas that strengthen the agency's analytics capabilities and offerings.

Qualifications:

Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field required; Master's degree preferred.
• 7+ years of experience in data science, statistical modeling, machine learning, predictive analytics, or marketing analytics.
• Experience 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 in applying AI and advanced analytics to solve complex business problems and improve marketing effectiveness.
• Strong understanding of statistical modeling, machine learning, predictive analytics, experimental design, media measurement methodologies (including marketing mix modeling, attribution, incrementality, and lift testing), and data visualization techniques.
• Excellent communication and presentation skills with the ability to translate complex analytical concepts into clear, actionable recommendations.

Compensation Range: USD $112,290.00 - USD $179,712.00/Annually.