VP, Data Science – Insights
Job Description:
• Lead the global data science organization and define the future of data innovation in healthcare advertising technology
• Drive advanced modeling, optimization, and AI initiatives for healthcare marketers
• Oversee teams across the US, India and Europe, integrating data science, machine learning, and analytics
• Develop and execute the global data science strategy
• Champion a culture of innovation, experimentation, and collaboration across global offices
• Oversee a team of 10 data scientists in building and optimizing predictive and causal models
• Integrate real-world data, claims data, and digital engagement signals into scalable ML pipelines
• Partner with engineering, product, and data partnership teams for global data infrastructure
• Ensure compliance with HIPAA and other data privacy standards
• Collaborate across departments to design data-driven solutions for marketing precision and client ROI
• Act as a trusted advisor, translating complex models into actionable insights
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
• 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 advanced analytics for media effectiveness and attribution
• Demonstrated success in building, mentoring, and scaling high-performing global data science teams
• Visionary leader who balances scientific rigor with commercial strategy
• Exceptional communicator who can bridge technical, business, and healthcare stakeholders
• Experience with healthcare compliance frameworks (HIPAA, GDPR, CCPA) and privacy-preserving technologies (differential privacy, federated learning)
• Global mindset with the ability to lead teams and initiatives across diverse cultures and time zones
• Passion for advancing ethical, data-driven innovation in healthcare marketing.
Benefits:
• Competitive base salary plus performance based bonus or commission
• Comprehensive medical, dental, and vision coverage
• 401K match program
• Generous PTO policy and paid holidays
• Remote friendly culture with flexible work options
• Career development and advanced education support
• WFH and internet stipends
• Many more perks and benefits!
Apply Now
Apply Now
• Lead the global data science organization and define the future of data innovation in healthcare advertising technology
• Drive advanced modeling, optimization, and AI initiatives for healthcare marketers
• Oversee teams across the US, India and Europe, integrating data science, machine learning, and analytics
• Develop and execute the global data science strategy
• Champion a culture of innovation, experimentation, and collaboration across global offices
• Oversee a team of 10 data scientists in building and optimizing predictive and causal models
• Integrate real-world data, claims data, and digital engagement signals into scalable ML pipelines
• Partner with engineering, product, and data partnership teams for global data infrastructure
• Ensure compliance with HIPAA and other data privacy standards
• Collaborate across departments to design data-driven solutions for marketing precision and client ROI
• Act as a trusted advisor, translating complex models into actionable insights
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
• 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 advanced analytics for media effectiveness and attribution
• Demonstrated success in building, mentoring, and scaling high-performing global data science teams
• Visionary leader who balances scientific rigor with commercial strategy
• Exceptional communicator who can bridge technical, business, and healthcare stakeholders
• Experience with healthcare compliance frameworks (HIPAA, GDPR, CCPA) and privacy-preserving technologies (differential privacy, federated learning)
• Global mindset with the ability to lead teams and initiatives across diverse cultures and time zones
• Passion for advancing ethical, data-driven innovation in healthcare marketing.
Benefits:
• Competitive base salary plus performance based bonus or commission
• Comprehensive medical, dental, and vision coverage
• 401K match program
• Generous PTO policy and paid holidays
• Remote friendly culture with flexible work options
• Career development and advanced education support
• WFH and internet stipends
• Many more perks and benefits!
Apply Now
Apply Now