Sr Manager, Marketing Sciences

Role Summary

We are seeking a visionary Sr. Manager, Data Science to drive high-impact, cross-functional initiatives across therapeutic areas that drive strategic value and innovation throughout the organization. This role will partner with diverse stakeholders and data science peers to establish best practices, streamline operations, and deliver measurable improvements in driving business performance, team efficiency, and cost optimization. The ideal candidate will bring knowledge in healthcare data and a strong track record of applying advanced analytics and AI/ML techniques to inform decision-making and improve patient outcomes. This role reports directly 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 triggers robustly for markets.
• Understand Gilead's 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, converting unstructured business questions into data science solutions; be a hands-on expert who can code, debug, and communicate with stakeholders.
• Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models.
• Apply a thorough understanding of statistics to construct robust propensity models for commercial use.
• Create data science products that can be refreshed, reproduced, and replicated.
• Work with other data scientists to define retraining schedules and measure model impact.
• Partner with global teams to cross-pollinate ideas and replicate successful models across regions.
• Communicate effectively and abstract backend complexity where unnecessary.

Qualifications

• Required: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years’ Experience.
• Required: Strong working knowledge of machine learning algorithms (e.g., regression, clustering, neural networks, Bayesian models, RNN, CNN, tree-based algorithms, SMOTE).
• Required: Experience in building, implementing, and using AI-based solutions with proven business impact.
• Required: Strong leadership with the ability to manage initiatives from start to finish.
• Required: Effective written and verbal communication skills.
• Preferred: Experience implementing and optimizing AI-based solutions to establish proven business impact.
• Preferred: Experience with standard pharma and consumer data types/sources (e.g., patient claims, Xponent, Plantrak, sales, activity) and pharma datasets (IQVIA, Symphony, Komodo, Optum, Definitive Health, Health Verity, EMR/HER).
• Preferred: Expertise in Python and data science libraries (numpy, pandas, scikit-learn, seaborn, networkx, etc.).
• Preferred: Experience with advanced data science techniques (ANCOVA, Bayesian statistics, econometric modeling, neural networks, logistic models).
• Preferred: Understanding of cloud-based tools (Databricks, S3) and data visualization (Tableau).
• Preferred: Demonstrated product mindset and familiarity with product management principles.
• Preferred: Strong team player with inclusive, cross-functional collaboration and a solution-oriented mindset.
• Preferred: Understanding of emerging data science capabilities and their potential applications in pharma/healthcare.

Skills

• Collaboration and Influence
• Strategic Orientation
• Results Orientation
• Leadership and Talent Development
• Communication