MSD Senior Specialist Data Science 

India, Maharashtra 

189009395

Job Description

Senior Specialist - Data Science

This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models.

You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning 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.

Who you are:

· You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation

· You are self-motivated, and have demonstrated abilities to think independently as a data scientist

· 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 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 moderate sized team of Data Scientist to solve complex business problems.
• Collaborate with business leaders to define and prioritize the business problems, work with the team to conceptualize the data science solution to address the problem
• Lead the end to end Program Management to ensure that team is working as per aligned business priorities
• Standardize and scale data science solutions to increase the delivery efficiency on prioritized work
• Collaborate with cross-functional teams to design and implement solutions that meet business requirements
• Define business & technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects
• Present the findings to senior business stakeholders in a clear and concise manner
• Ensure the technical and professional development of junior team members by required mentorship and defining the career progression pathway
• 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 8-10 years industry experience
• Extensive experience in healthcare analytics or consulting sectors
• Extensive experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc.
• Extensive 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 project management, senior level stakeholder management
• Experience in leading small sized teams
• Strong Python/R, SQL, Excel skills
• Strong foundation of statistics and machine learning

Preferred Qualifications:

• Advanced degree in STEM (MS, MBA, PhD)
• Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics
• Experience of supporting End to End Program Management

Current Contingent Workers apply

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