Data Scientist - Pharmaceutical Commercial Analytics

• We 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., * 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:
• HCP engagement planning
• Content personalization
• Gen AI interfaces for ML pipelines

ML Engineering & Pipeline Development

• Oversee build and maintenance of end-to-end ML pipelines including:
• Data ingestion, feature engineering, model training, evaluation, and deployment
• Implement MLOps best practices:
• Model versioning, monitoring, and retraining pipelines
• CI/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:
• Advanced Analytics teams (modeling and experimentation on alerts)
• Data Engineering teams (data pipelines and infrastructure)
• Business stakeholders (Sales, Marketing, Market Access)
• Act as a bridge between technical and business teams, ensuring adoption of advanced analytics and AI solutions.

Data Management & Compliance

• Work with large-scale healthcare datasets such as:
• Claims, EHR/EMR, CRM, and digital engagement data
• Ensure compliance with data privacy and regulatory standards (e.g., HIPAA).

• Master's or PhD in:
• Data Science
• Computer Science
• Statistics
• Operations Research
• Mathematics or a related quantitative discipline

Experience

• 5-7+ years (Master's) or 3-5+ years (PhD) in:
• Data science, machine learning, or advanced analytics
• Pharmaceutical / life sciences commercial analytics preferred
• Healthcare analytics or consulting experience

Technical Skills

Core Data Science

• Proficiency in:
• Python (preferred) or R
• SQL
• Strong understanding of:
• Machine learning algorithms (supervised/unsupervised learning)
• Statistical analysis and experimental design

GenAI & Modern AI Stack

• Hands-on experience with:
• Large Language Models (LLMs) and GenAI frameworks
• Prompt engineering and RAG architecture
• Agent-based AI systems (e.g., LangChain, MCP, A2A, AutoGen)
• Familiarity with:
• Vector databases and embeddings
• API-based AI integrations

ML Engineering / MLOps

• Experience with:
• Overseeing ML pipelines (training * deployment * monitoring)
• Tools such as Databricks, Azure ML, AWS SageMaker
• Knowledge of:
• Model deployment, REST APIs, containerization (Docker)
• CI/CD pipelines for ML systems

Visualization & Communication

• Ability to build apps for demo purposes using Databricks.
• Experience with BI tools (Power BI, Tableau).
• Strong storytelling skills to communicate insights effectively.

Domain Expertise (Preferred)

• Pharmaceutical commercial domain experience, including:
• Patient journey and longitudinal data analysis
• HCP targeting and segmentation
• Omnichannel marketing analytics and campaign optimization
• Experience in:
• Next Best Action (NBA) frameworks
• Sales force effectiveness
• Promotional response modeling especially Multi-touch Attribution

Key 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 quality.

Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision-Right Talent. Right Time. Right Place. Right Price., We believe in more than just jobs-we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter. Our Commitment to Inclusion & Equity Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics. Awards & Recognition * America's Most Honored Businesses (Top 10%) * Fastest-Growing Staffing Firm by Staffing Industry Analysts * INC 5000 List for Eight Consecutive Years * Top 100 by Dallas Business Journal * Spirit of Alliance Award by Agile1