Job Summary

At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Specialist - Data Science.

This role involves working with our partners in different Business Units (Oncology and Pharma, Specialty Infectious Diseases) and Domain areas (HCP/Account Analytics, Patient Analytics, Segmentation targeting, Market Access, etc.) across products in different life cycles to help create scalable and production-grade analytics solutions, ranging from data visualization reporting to advanced classical ML models and GenAI based agents/agentic capabilities.

You will work in the Customer Knowledge and Measurement Analytics function - supporting Oncology BU, where you will play a pivotal role in leveraging your traditional ML and GenAI expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced Data Scientists and Business Analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions.

We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation Targeting is highly desirable.





You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders.

Who you are:

- You understand the foundations of statistics, probability, traditional ML and GenAI and can work in high-performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, model development, data engineering, data visualization, and data interpretation
- You structure your Data Science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand
- You are self-motivated, and have demonstrated abilities to think independently as a Data Scientist and are able to own workstreams end-to-end partnering with BIA/Business Stakeholders
- You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture
- You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks

Key responsibilities

- Lead a team of Analysts - Data Science to solve complex business problems.
- Lead the team in understanding the business requirements and translating them into analytical problem statements.
- Applying GenAI to accelerate analytics workflows
- Define technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects
- Collaborate with cross-functional teams to design and implement solutions that meet business requirements
- Present the findings to senior business stakeholders in a clear and concise manner




- Manage and mentor junior data scientists through technical and qualified guidance, trainings etc.
- Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations.

Minimum Qualifications

- Bachelor s degree with 5-7 years industry experience
- Proficiency in Python/R, SQL and Excel
- Experience in healthcare analytics or consulting sectors
- Experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc.
- Experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.)
- Experience in leading small sized teams

Strong foundations of Statistics, Traditional ML and GenAI

Preferred Qualifications

- Advanced degree in STEM (MS, MBA, PhD)
- Experience in Oncology therapeutic area commercial analytics
- Knowledge of Statistics, Probability, Classical ML models, LLMs, Commercial Analytics
- Experience of supporting End to End Project Management

Required Skills

- Analytics Insights
- Business Decisions
- Business Intelligence (BI)
- Business Needs
- Data Analysis
- Database Design
- Data Engineering
- Data Modeling
- Data Modeling Techniques
- Data Organization
- Data Research
- Data Science
- Data Visualization
- Executive Leadership
- Healthcare Analytics
- Influencing Skills
- Machine Learning (ML)
- Model Driven Design
- Project Life Cycle Management
- Python (Programming Language)
- Software Development
- Solutions Development
- SQL Databases
- Stakeholder Relationship Management

Job Details

- Employee Status: Regular
- Relocation: Domestic
- VISA Sponsorship: No
- Travel Requirements: 10%
- Flexible Work Arrangements: Hybrid
- Shift: 1st - Day
- Valid Driving License: Yes
- Hazardous Material(s): NA

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Specialist, Data Science (Pune)
🏢 Merck Sharp u0026 Dohme (MSD)
📍 Pune