Data Scientist

Job Title: Data ScientistLocation: RemoteDuration: 12 monthsOrganization:Global Data & Digital Innovation (GDDI)OverviewWe are seeking a highly motivated Data Scientist to join the Global Data & Digital Innovation (GDDI) organization within the pharmaceutical commercial domain. This role focuses on building data science and AI-driven solutions, including predictive patient event modeling, Next Best Action (NBA) engines for HCP engagement, and GenAI-powered decision agents to enhance commercial effectiveness.The ideal candidate will combine strong machine learning expertise with experience in GenAI agent development and scalable ML pipelines, enabling actionable insights for stakeholders across GDDI, Sales, Marketing, Sales Analytics, and Advanced Analytics functions.Key Responsibilities*Develop and deploy predictive models for patient events (line switches, initiation)*Scale Next Best Action (NBA) solutions to optimize HCP engagement strategies across channels to various products*Apply advanced ML techniques including regression, classification, and NLP techniques*Create multi touch attribution pipelines for the customer journeys and optimization*Integrate GenAI capabilities into commercial workflows such as:oHCP engagement planningoContent personalizationoGen AI interfaces for ML pipelinesML Engineering & Pipeline Development*Oversee build and maintenance of end-to-end ML pipelines including:oData ingestion, feature engineering, model training, evaluation, and deployment*Implement MLOps best practices:oModel versioning, monitoring, and retraining pipelinesoCI/CD integration for scalable deployment*Work with modern data platforms (e.g., Databricks, AWS)Commercial Strategy & Stakeholder Support*Partner with Sales, Marketing, and Sales Analytics teams to translate business problems into analytical solutions*Deliver actionable insights and recommendations to senior stakeholders*Collaborate with:oAdvanced Analytics teams (modeling and experimentation on alerts)oData Engineering teams (data pipelines and infrastructure)oBusiness stakeholders (Sales, Marketing, Market Access)*Act as a bridge between technical and business teams, ensuring adoption of advanced analytics and AI solutionsData Management & Compliance*Work with large-scale healthcare datasets such as:oClaims, EHR/EMR, CRM, and digital engagement data*Ensure compliance with data privacy and regulatory standards (e.g., HIPAA)Required QualificationsEducation*Master's or PhD in:oData ScienceoComputer ScienceoStatisticsoOperations ResearchoMathematics or a related quantitative disciplineExperience*5-7+ years (Master's) or 3-5+ years (PhD) in:oData science, machine learning, or advanced analyticsoPharmaceutical / life sciences commercial analytics preferredoHealthcare analytics or consulting experienceTechnical SkillsCore Data Science*Proficiency in:oPython (preferred) or RoSQL*Strong understanding of:oMachine learning algorithms (supervised/unsupervised learning)oStatistical analysis and experimental designGenAI & Modern AI Stack*Hands-on experience with:oLarge Language Models (LLMs) and GenAI frameworksoPrompt engineering and RAG architectureoAgent-based AI systems (e.g., LangChain, MCP, A2A, AutoGen)*Familiarity with:oVector databases and embeddingsoAPI-based AI integrationsML Engineering / MLOps*Experience with:oOverseeing ML pipelines (trainingdeploymentmonitoring)oTools such as Databricks, Azure ML, AWS SageMaker*Knowledge of:oModel deployment, REST APIs, containerization (Docker)oCI/CD pipelines for ML systemsVisualization & Communication*Ability to build apps for demo purposes using Databricks*Experience with BI tools (Power BI, Tableau)*Strong storytelling skills to communicate insights effectivelyDomain Expertise (Preferred)*Pharmaceutical commercial domain experience, including:oPatient journey and longitudinal data analysisoHCP targeting and segmentationoOmnichannel marketing analytics and campaign optimization*Experience in:oNext Best Action (NBA) frameworksoSales force effectivenessoPromotional response modeling especially Multi- touch AttributionKey Competencies*Strong problem-solving mindset with business acumen*Ability to bridge AI innovation with commercial impact*Excellent stakeholder management and communication skills*Experience working in cross-functional, global teams*High attention to detail and commitment to qualityWhat Success Looks Like*Delivering scalable AI/ML and GenAI solutions that drive commercial insights*Enabling smarter, real-time decision-making for Sales and Marketing teams*Successfully deploying GenAI agents and production-grade ML pipelines*Becoming a trusted partner within the Global Data & Digital Innovation organization