Director, Data Science

Working with a growing PR and Marketing agency that blends their creative excellence with data-driven strategy to deliver high-impact campaigns. Central to this growth is the Integrated Intelligence Team, a dynamic group driving innovation through analytics, data science, and strategic insights. This team plays a pivotal role in transforming client outcomes, particularly within the healthcare and life sciences sectors.

The agency is seeking a Director of Data Science to shape the data science function within the Integrated Intelligence Team. This role is ideal for someone with a deep experience in data science and a draw towards business - someone who looks to empower client campaigns while utilizing their technical expertise.

Key Responsibilities

• Develop and deploy scalable, future-forward data science solutions using leading technology stacks and principles, fueling innovation across the healthcare spectrum.
• Design and implement sophisticated algorithms, pipelines, and architectures that serve as the backbone for delivering actionable insights critical for client decision-making.
• Architect end-to-end data workflows - from seamless data ingestion to process automation and intelligence - illuminating new pathways for business growth.
• Build advanced data visualizations, translating complex data into compelling stories that drive action and influence strategy.
• Collaborate closely with experts across pharma and biotech-including medical affairs, commercial strategy, creative, digital, and other client partners-to understand business challenges, frame requirements, and drive innovative solutions grounded in data science best practices.
• Translate intricate data sets into strategic recommendations that spark change and elevate client impact.
• Support cross-functional teams with data-driven solutions that address unmet needs in scientific communication, patient education, and HCP/KOL engagement.
• Dive deep into customer behavior, marketing performance, and product usage to reveal insights that set new industry standards.
• Integrate and analyze data from various commercial platforms such as Salesforce and Adobe Experience Cloud, ensuring our life sciences clients remain at the forefront of omnichannel transformation.
• Present findings and recommendations to senior leadership and clients in a clear, compelling manner, bridging the gap between data and decision-making.

Qualifications

• Minimum Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; 8-10 years of hands-on experience in data science, analytics, or strategy roles within the healthcare industry.
• Prior experience in a PR and/or marketing agency working with real-world healthcare data (e.g., claims, EHR, social media, etc.).
• Deep familiarity with healthcare operating models, omnichannel execution, and the commercial dynamics of life sciences.
• Strong analytical and statistical skills, with demonstrable expertise in data wrangling, exploratory data analysis (EDA), advanced data visualization, and multivariate analyses.
• Real-world experience with statistical modeling and machine learning algorithms, including regressions, Naive Bayes, NLP, decision trees, KNN, K-means, random forest, neural networks, and more.
• Proficient in Python and SQL, with experience building data pipelines and working with modern data stacks such as Databricks, Snowflake, or BigQuery.
• Demonstrable Generative AI experience, leveraging frameworks such as MCP, LangChain, LangGraph, and others to develop LLM-centric solutions using RAG, fine-tuning, agentic workflows, etc.
• Expertise in data extraction from diverse sources (e.g., social media APIs, government datasets, financial feeds) using tools like BeautifulSoup, Selenium, and AI-powered frameworks.
• Experience deploying solutions in distributed cloud environments such as AWS, GCP, or Azure.
• Hands-on experience with commercial visualization platforms such as Tableau, Power BI, Looker, or Qlik.
• Familiarity with SaaS platforms like Salesforce and Veeva, and their integration into healthcare marketing ecosystems.
• Proven ability to develop and test business hypotheses, translating data into strategic insights.
• Experience collaborating across life sciences functional stacks, including commercial, market access, medical affairs, marketing, and clinical.
• Strong business acumen with a track record of interpreting stakeholder requirements to identify opportunities and shape strategic decisions.
• Excellent written and verbal communication skills, with the ability to clearly present findings to non-technical audiences.
• Deep understanding of omnichannel execution and its role in modern healthcare engagement.