MSD

Associate Director, Data Science

MSD

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $153,800 - $242,200 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSparkSQLTableau

About the role

  • Associate Director Data Science BIA Vaccines will be responsible for developing and communicating data-driven and actionable insights that drive greater customer and market understanding to inform launch brand strategies, help meet in-line brand growth and commercial objectives. Lead a cross functional insights team that spans data science, market research, data strategy, and measurement. Scope, design, and deliver well-defined advanced analytics solutions aligned to business priorities, including leading solutions aligned to the DHH top programs. Mine and analyze data leveraging advanced analytical/statistical techniques from disparate databases/sources (claims data/EMR Data and other sources) to drive optimization and improvement of therapy area commercial business strategies. Ensure delivery of analyses with high quality standards, timeliness, compliance, and excellent user experience. Establish and manage close relationships with marketing stakeholders. Convey intensively with other platform/competencies to comprehend new trends/ methodologies being implemented/considered within the company ecosystem and bring new ideas forward. Partner to identify, source externally available data sources based on business needs, and execute specific business objectives. Effectively convey and positively influence stakeholders.

Requirements

  • Minimum of 3 plus years of relevant knowledge using data science to deliver measurable impact in commercial pharma landscape. Knowledge in mining medical claims, consumer data with a strategic/inquisitive mindset and proven record of being able to produce actionable business insights that drive positive commercial results. Well versed with machine learning algorithms like decision tree, random forest, regression, xgboost etc. Experience in digital marketing, aware of KPI and measures of digital marketing. Providing actionable insights through analytics to commercial franchises brands at various stages of product life cycle. Provide guidance, help define tactics and strategies to implement targeting and segmentation scheme using predictive and machine learning models. Ability to extract data from various database tables using tools such as SQL to develop features to be used in analysis including the ability to perform feature engineering. Knowledge in developing both machine learning and descriptive algorithms/modeling using such languages as Python, R etc. Comfortable formulating actionable insights and recommendations from commercial analytics into presentations (using PowerPoint, Tableau, etc.) and presenting results to various levels of franchise management. Proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space. Motivational and ethical stakeholder management and communication skills. Effective organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Proven track record of successful completion of multi-stakeholder projects necessitating coordination cross-functionally between several departments. Proven data science leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation is a plus. Demonstrated ability to integrate and scale digital capabilities across commercial functions. Proficiency in automating machine learning code for scalable deployment. Hands-on experience implementing Generative AI solutions in real-world business contexts. Knowledge of Agentic AI and its application in commercial pharma analytics. Minimum required education: A minimum of BS (or equivalent) in Data Science, Computer Science, Management Information Systems, IT, or an equivalent scientific/commercial discipline. MBA or Master’s or Doctorate degree preferred.