Sr Manager, Marketing Sciences

Role Summary

We are seeking a visionary Sr Manager, Marketing Sciences to drive high-impact, cross-functional data science initiatives across therapeutic areas, partnering with diverse stakeholders to establish best practices, streamline operations, and deliver measurable improvements in business performance, team efficiency, and cost optimization. The role requires applying advanced analytics and AI/ML techniques to inform decision-making and improve patient outcomes, and involves leading cross-functional data science initiatives and creating scalable, reusable solutions. The position reports to the Sr. Director, Marketing Sciences and may be based in Parsippany, NJ or Foster City, CA.

Responsibilities

• Be a partner in driving the industrialization of predictive sciences to understand the patient journey and market triggers robustly.
• Understand commercial objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical, and related areas.
• Drive data science projects end to end, transforming unstructured business questions into data science solutions; be hands-on with coding and debugging; communicate with stakeholders.
• Foster a culture of measurement and impact; incorporate feedback to continuously improve models.
• Apply statistical knowledge, including predictive algorithms and methodologies, to construct robust propensity models for commercial use.
• Create data science products that are refreshable, reproducible, and replicable.
• Collaborate with other data scientists to define retraining schedules and measure propensity model impact.
• Partner with global teams to cross-pollinate ideas and replicate successful models across countries.
• Communicate effectively and abstract backend complexity where not needed.

Qualifications

• Required: Bachelor’s Degree and Eight Years' Experience OR Master’s Degree and Six Years' Experience OR PhD and Two Years’ Experience.
• Required: Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, tree-based algorithms (RF, XGB, LightGBM), SMOTE, etc.
• Required: Experience in building, implementing, and using AI-based solutions with proven business impact.
• Required: Strong leadership capable of managing initiatives from start to finish; excellent written and verbal communication skills.
• Required: Ability to work cross-functionally and influence stakeholders; hands-on technical depth.
• Preferred: Experience implementing, optimizing, and using AI-based solutions to demonstrate business impact; experience with pharma/consumer data types and sources (e.g., patient claims, Xponent, Plantrak, sales, activity).
• Preferred: Expertise with pharma datasets (IQVIA, Symphony, Komodo, Optum, Definitive Health, Health Verity, EMR/HER); Python and common data science libraries (numpy, pandas, scikit-learn, seaborn, networkx); knowledge of advanced data science techniques (ANCOVA, Bayesian statistics, econometric modeling, neural networks/logistic); cloud tools (Databricks, S3); experience designing measurement solutions in visualization software (Tableau preferred).
• Preferred: Demonstrated product mindset; familiarity with product management principles; strong team collaboration skills; understanding of emerging data science capabilities and their pharma/healthcare applications; thorough understanding of datasets and their limitations.

Skills

• Data science leadership and program management
• Advanced analytics and AI/ML technique application
• Strategic collaboration and cross-functional influence
• Strong communication and stakeholder management
• Model development, deployment, monitoring, and retraining discipline

Education

• Bachelor’s Degree with significant experience (as defined above) or Master’s Degree or PhD in a relevant field linked to data science, statistics, computer science, or a related discipline.

Additional Requirements

• Location flexibility to Parsippany, NJ or Foster City, CA.