Director, Data Science

DeepIntent•New York, NY

6h•Hybrid

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. DeepIntent is seeking a 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 oversee a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively. The 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 manage and collaborate with data scientists across the U.S., Europe, and India while partnering closely with product, engineering, and commercial teams 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
3+ years of experience leading data science or analytics teams
Experience working with adtech platforms, or marketing analytics environments
Strong understanding of programmatic advertising, identity resolution
Advanced experience with Python, SQL, Spark, and modern machine learning frameworks (TensorFlow, PyTorch, XGBoost), LLM providers (Claude, OpenAI, Ollama)
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 compliance frameworks 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
Healthcare data ecosystem understanding a plus (claims, RWD, HCP and patient data)

Responsibilities

Oversee a team focused on advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively.
Help shape and execute data science initiatives that drive predictive, privacy-safe insights to power precision marketing and measurable outcomes.
Manage and collaborate with data scientists across the U.S., Europe, and India.
Partner closely with product, engineering, and commercial teams to deliver scalable, data-driven solutions.
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.
Serve in a player-coach capacity, balancing hands-on data science work with managerial responsibilities.
Mentor and coach a team of 5 data scientists by providing ongoing feedback, supporting professional development, and fostering a collaborative, high-performance environment.

Benefits

Competitive compensation package inclusive of a base salary range of $185,000 - $200,000
Annualized bonus plan
Competitive benefits
Comprehensive medical, dental, and vision insurance (US)
401K match program (US)
Unlimited PTO policy (US)
Paid holidays (US)
Remote friendly culture with flexible work options (US)
Career development and advanced education support (US)
WFH and internet stipends (US)
Comprehensive medical insurance (India)
Paid holidays (India)
Hybrid-friendly culture with flexible work options (India)
Professional development reimbursement (India)
WiFi reimbursement (India)
Health and wellness allowance (India)
Competitive base salary plus performance-based bonus (Europe)
Comprehensive medical insurance (Europe)
Flexible PTO (Europe)
Hybrid-friendly culture with flexible work options (Europe)
Professional development reimbursement (Europe)
WiFi reimbursement (Europe)
Parental leave (Europe)