[Remote] VP, Data Science & Insights at DeepIntent

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare Advertising, BiotechnologyIndustries

Requirements

Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field
12+ years of experience in data science or machine learning roles, with 5+ years leading diverse, cross-functional, global teams
Visionary leader who balances scientific rigor with commercial strategy
Experience with customer facing roles with pharma brands and or intermediaries including consultancies, agencies etc
Proven success in adtech or healthcare data environments (e.g., pharma marketing, patient engagement, or health data analytics)
Deep understanding of programmatic advertising, identity resolution, and healthcare data ecosystems (claims, EHR, RWD, HCP/patient data)
Advanced expertise in Python, SQL, Spark, and modern ML frameworks (TensorFlow, PyTorch, XGBoost)
Strong foundation in statistics, causal inference, and experimental design

Responsibilities

Lead a distributed team of data scientists across the U.S., Europe, and India
Develop and execute the global data science strategy that supports our mission to transform healthcare marketing through data and technology
Oversee team of 10 Data Scientists who build and optimize predictive and causal models that drive patient and provider targeting, audience segmentation, and campaign performance measurement ensuring accuracy in their work
Oversee the design of machine learning systems for real-time bidding, healthcare audience modeling, and privacy-first identity resolution
Integrate real-world data, claims data, and digital engagement signals into scalable ML pipelines
Ensure compliance with HIPAA, and other data privacy standards in all model development and deployment
Partner with engineering, product and data partnership teams to advance our global data infrastructure—supporting high-volume, multi-market processing and model deployment
Establish best practices in feature engineering, reproducible research, and MLOps to accelerate experimentation and ensure reliability
Partner with General Counsel to drive the adoption of responsible AI principles and ensure data science practices align with healthcare data ethics and patient privacy
Collaborate with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that enhance targeting precision, optimize media performance, and improve client ROI
Act as a trusted advisor to executive leadership and clients—translating complex models into actionable insights and strategic opportunities
Partner with regulatory, compliance, and privacy teams to operationalize secure, compliant data usage globally

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningAIPredictive ModelingCausal ModelingAudience SegmentationReal-time BiddingHealthcare Audience ModelingPrivacy-First Identity ResolutionStrategic LeadershipTeam LeadershipData InnovationData StrategyScientific RigorCommercial Strategy

Questions & Answers

Common questions about this position

What teams will the VP oversee in this role?

The VP will oversee a team of 10 Data Scientists across the US, India, and Europe, leading global data science, machine learning, and analytics efforts.

Is this role remote or does it require office presence?

This information is not specified in the job description.

What key skills and experience are needed for the VP of Data Science & Insights role?

The role requires visionary leadership balancing scientific rigor with commercial strategy, expertise in advanced modeling, machine learning, AI, predictive and causal models, MLOps, and knowledge of healthcare data privacy standards like HIPAA.

What is the company culture like for this position?

The culture emphasizes innovation, experimentation, collaboration across global offices, responsible AI principles, and healthcare data ethics.

What makes a strong candidate for this VP role?

Strong candidates will have experience leading distributed global data science teams, developing healthcare-focused AI and ML strategies, ensuring regulatory compliance, and partnering cross-functionally to deliver commercially impactful solutions.

DeepIntent

Healthcare advertising technology and demand-side platform

About DeepIntent

DeepIntent offers a demand-side platform (DSP) tailored for healthcare advertising, allowing marketers to create and manage campaigns that target both patients and healthcare professionals (HCPs). The platform uses a proprietary ID graph and HCP Planner to form targeted audiences based on reliable data sources, addressing privacy concerns in healthcare advertising. DeepIntent stands out from competitors by prioritizing privacy compliance and data security, ensuring sensitive user information is protected. The company's goal is to empower healthcare marketers to run effective digital advertising campaigns while maintaining high standards of data security.

New York City, New YorkHeadquarters

2016Year Founded

$45MTotal Funding

ACQUISITIONCompany Stage

Consumer Software, HealthcareIndustries

51-200Employees

Benefits

Remote Work Options

Performance Bonus

Risks

Scrutiny on third-party data vendors may lead to compliance challenges.

Data privacy regulation changes could impact partnerships and data sharing.

Integration with Acxiom poses risks related to data breaches or misuse.

Differentiation

DeepIntent's MarketMatch platform offers a unified digital healthcare marketplace.

The proprietary ID graph enables precise targeting of healthcare professionals and patients.

Focus on privacy compliance sets DeepIntent apart in healthcare advertising.

Upsides

Partnership with Everyday Health Group expands access to premium health segments.

Integration with Acxiom enhances data capabilities and marketing performance.

Winning the Digiday Media Award boosts DeepIntent's industry credibility.

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