Senior Commercial Data Science Manager

GSK is one of the world's preeminent pharmaceutical and healthcare companies. We take pride in leading a healthcare revolution. Through disruptive approaches in R&D and commercial business processes, our Data & Analytics team integrates, simplifies, and unlocks all our data. This drives innovation, decision-making, and allows us to better serve our patients, healthcare professionals, and consumers. This role will provide you the opportunity to lead key activities to progress your career. These responsibilities include some of the following:

• Manage a team of 2-4 data scientist and engineers.
• Develop and deliver high quality, analytics and insights using AI/ML and statistical models to uncover business learnings for the US commercial oncology business at the patient, HCP, and health system level aligned with analytical priorities for:

• Customer segmentation
• Brand performance reporting
• Predictive patient modeling
• Propensity score modeling
• Sentiment analysis
• Marketing Mix Modeling
• Omnichannel analytics
• Resource allocation and budget optimization
• Experimental design (test/control) analyses

• Develop, deploy, maintain and monitor data analytics automation in enterprise data platforms with9n a CI/CD framework
• Work with commercial business reporting owners in developing agent-based AI tools to support analytics automation, delivery and visualization of insights and business focused interrogation of data.
• Understand data science opportunities, based on analytical knowledge, needed to deliver innovative solutions to uncover drivers of gaps in understanding of patient unmet needs and HCP prescribing patterns to improve strategic opportunities.
• Act as a data science expert, by learning and contributing to GSK’s data science community to grow their data skills, build best practices, and grow data science literacy within the organization
• Earn the trust of stakeholder partners to drive data-driven decisions through active engagement, advanced analytics expertise, demonstrated learning, and business knowledge.
• Establish and define project plans, proactively seek inputs needed to complete results according to plan and deliver milestones according to plan.
• Collaborate on cross-matrix teams and demonstrate subject matter expertise with other teams/functions to drive e]iciencies and seamless decision making.
• Use storytelling, powerful visualizations to demonstrate power of utilizing data science with business partners and analytics team members which enable fact-based recommendations that inspire usage for data driven decisions

Why You? Basic Qualification We are seeking professionals with the following required skills and qualifications to help us achieve our goals:

• Master's or PhD in statistics, mathematics, engineering or related analytical field
• 5+ years of experience applying analytics and statistical skills in a business setting
• 3+ years of professional experience with analytics tools/languages and visualization tools
• Experience in analytics tools/languages such as SQL, Python, PySpark, and visualization tools
• Experience working in working in cloud compute environments and Databricks or Snowflake data platforms.
• Experience in coding statistical and ML models
• Experience with developing and deploying AI agentic processes
• Proactively identify areas for analysis, including the potential application for machine learning, and contribute to problem-solving.

Preferred Qualification If you have the following characteristics, it would be a plus:

• Enthusiasm for leveraging Real World Data
• Analytical curiosity to develop innovative solutions to solve complex problems.
• Effective communicator with strong business acumen knowledge
• Understanding of business needs and ability to develop appropriate solutions
• Demonstrate teamwork and strong collaborative partnerships
• Familiarity with healthcare-related datasets, such as claims data (e.g., IQVIA, Komodo Health),
• Experience with modeling treatment line of therapy, patient journey analysis, and HCP prioritization.

#Li-GSK #AGTech Skills Algorithms, Data Assessment, Data Cleansing, Data Preprocessing, Exploratory Data Analysis (EDA), Feature Engineering, Hypothesis Testing, Mathematics Modeling, Model Evaluation, Predictive Modeling, Probabilistic Modeling, Reliability Engineering, Statistical Analysis, Statistical Analysis Techniques, Statistical Significance Testing Please visit [GSK US Benefits Summary]( to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - [View email address on joinrs.com](mailto:View email address on joinrs.com) GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at [