Description
Director , Data Science - Measurement & Optimization
As Director, Data Science - Measurement & Optimization, you will report to the Senior Director, Data Science – AI & Optimization. Based in Stockley Park, UK, you will proactively bring innovative data science techniques and insights to business to drive/support strategic business decisions. You would be responsible for measurement solutions and resource optimization recommendations for commercial markets across Therapeutic Areas.
The ideal candidate brings deep expertise in developing marketing mix models and measurement frameworks, particularly within the pharmaceutical commercial domain. You will work closely with integrated insights, commercial ops, patient engagement and omni channel analytics leads. You will be expected to turn business insights into technical details and vice versa acting as a conduit between business teams and other data scientists. You will also be required to stay in touch with emerging digital and other AI fields (such as Generative AI), focused on benchmarking and measurement. You will be expected to guide internal teams make the right business decisions through effective value assessment and estimation, measurement planning and the measurement itself.
This is an individual contributor role, supported by a team of offshore data scientists. Occasional travel to global Gilead locations may be required. Hands on functional expertise, highly collaborative mindset and leadership skillsets are required to perform this role efficiently.
Key Responsibilities:
Responsibilities:
Lead the development and delivery of models and methodologies to inform and evaluate brands' marketing and sales tactics (e.g., marketing mix, resource allocation) using latest data science techniques (ANCOVA, Bayesian Statistics, Econometrics, Neural Networks/Logistic, etc.) Oversee and guide the development and execution of experiments (e.g., A|B n and multi-variate tests) to assess the effectiveness of tactics, modifying initiatives as required Lead the design of KPIs to track the effectiveness of recommendations that have been implemented and the measurement of campaigns' impact (e.g., ROI, engagement, lift, etc.) Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical, etc. Lead Data science projects end to end include convert unstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, and communicate with stakeholders. Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use Create data science products that can be refreshed, reproduced and replicated Work with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impact Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa Excellent communication and ability to abstract backend complexity where it is not needed
Basic Qualifications:
Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE, etc. Experience in building, implementing and using AI-based solutions with proven business impact Strong leadership that be able to manage initiatives from beginning to end himself/herself Effective written and verbal communication skills Degree or above with significant relevant data science/analytics experience Benchmarking experience in digital and / or emerging AI fields such as generative AI.
Preferred Experience:
Experience in measuring, implementing, optimizing and using AI-based solutions to establish proven business impact Experience in designing test control experiments Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc. Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modelling, Neural Networks/Logistic, etc. Understanding of cloud-based technologies and tools such as Databricks, AWS, etc. Experience designing measurement solutions in any visualization software (Tableau preferred) Experience with ex-US (European) markets is not required but highly preferred Demonstrated product mindset Familiarity with product management principles Effective written and verbal communication skills Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces
Competencies:
Structured Problem Solving - Demonstrates the ability to bring clarity to complex challenges by applying structured thinking, guiding teams through ambiguity, and mobilizing resources to deliver timely and effective solutions.
Collaborative Influence - Influences without direct authority by building trust, demonstrating subject matter expertise, and communicating with authenticity. Listens actively, adapts messaging to the audience, and uses data-driven persuasion to align stakeholders.
Results Orientation - Maintains a strong focus on outcomes, consistently driving toward ambitious goals—even in the face of adversity. Takes ownership, makes informed decisions, and ensures accountability to move initiatives forward.
Strategic - Anticipates evolving business needs and market dynamics. Translates vision into actionable plans, identifies growth opportunities, and adjusts priorities to align with long-term objectives.
Measurement-Driven - Champions a culture of evidence-based decision-making. Designs and executes strategies with measurable impact, leveraging KPIs and analytics to track performance and optimize results.
Enterprise Thinking – Advocates for decisions and actions that foster cross-functional collaboration and breaking down silos to drive unified outcomes. Encourages a big-picture perspective, long-term value creation, and a unified approach to business challenges, ensuring that decisions promote the overall health and success of the organization.
Equal Employment Opportunity (EEO)
It is the policy of Gilead Sciences, Inc. and its subsidiaries and affiliates (collectively "Gilead" or the "Company") to recruit select and employ the most qualified persons available for positions throughout the Company. Except if otherwise provided by applicable law, all employment actions relating to issues such as compensation, benefits, transfers, layoffs, returns from layoffs, company-sponsored training, education assistance, social and recreational programs are administered on a non-discriminatory basis (i.e. without regard to protected characteristics or prohibited grounds, which may include an individual’s gender, race, color, national origin, ancestry, religion, creed, physical or mental disability, marital status, sexual orientation, medical condition, veteran status, and age, unless such protection is prohibited by federal, state, municipal, provincial, local or other applicable laws). Gilead also prohibits discrimination based on any other characteristics protected by applicable laws.
For Current Gilead Employees and Contractors:
Please apply via the Internal Career Opportunities portal in Workday.
