Sr Director, Data Science

DeepIntent•New York, NY

21h•$185,000 - $220,000

About The Position

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com. What You’ll Do DeepIntent is seeking an experienced Senior Director of Data Science to help lead our global data science organization and advance the next generation of data innovation in healthcare advertising technology. In this role, you will lead a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively. The Senior Director, Data Science will help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes. This role will collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial leaders to deliver scalable, data-driven solutions.

Requirements

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field
8+ years of experience in data science, machine learning, or advanced analytics roles.
5+ years of people management experience managing data science or analytics teams.
Experience working with healthcare data, adtech platforms, or marketing analytics environments.
Strong understanding of programmatic advertising, identity resolution, and healthcare data ecosystems (claims, RWD, HCP and patient data).
Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow, PyTorch, XGBoost).
Strong foundation in statistics, causal inference, and measurement methodologies for media effectiveness and attribution.
Excellent communicator capable of translating complex technical concepts to business stakeholders and clients.
Experience working with healthcare compliance frameworks (HIPAA, GDPR, CCPA) and privacy-aware data science practices.
Comfort working in global, cross-functional environments across multiple time zones.
Passion for applying data science and AI to improve healthcare marketing outcomes.

Nice To Haves

Master’s or Ph.D. in Computer Science, Statistics, Mathematics a plus

Responsibilities

Partner with executive and cross-functional leadership to translate data science capabilities into scalable, compliant, and commercially impactful solutions.
Help execute the global data science roadmap supporting DeepIntent’s mission to transform healthcare marketing through data and technology.
Lead and mentor a distributed team of data scientists across the U.S., Europe, and India.
Foster a culture of innovation, experimentation, and collaboration across teams.
Contribute to strategic planning and help identify new opportunities where advanced analytics and AI can drive business impact.
Develop and optimize predictive and causal models for patient and provider targeting, audience segmentation, and campaign performance measurement.
Oversee the development and deployment of machine learning models supporting real-time bidding, healthcare audience modeling, and privacy-first identity resolution.
Integrate real-world data (RWD), claims data, and digital engagement signals into scalable machine learning pipelines.
Ensure models and data science practices align with healthcare privacy standards including HIPAA and other global regulatory frameworks.
Collaborate with engineering, product, and data partnerships teams to strengthen our data infrastructure supporting large-scale, multi-market model deployment.
Implement best practices in feature engineering, reproducible research, and ML Ops to improve experimentation speed and reliability.
Partner with legal and compliance teams to ensure responsible AI development and ethical use of healthcare data.
Work closely with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that improve targeting precision, optimize media performance, and enhance client outcomes.
Translate complex modeling outputs into actionable insights for internal stakeholders and clients.