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Merck Sharp & Dohme (MSD)
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Manager, Data Scientist

Manager, Data Scientist

Merck Sharp & Dohme (MSD)

5 - 9 years

7 - 11 Lacs

Hyderabad

Posted:1 week ago| Platform:

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Skills Required

CVS Data analysis Coding Database design Project management Healthcare Business intelligence Risk management Analytics Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Manager, Data Scientist

The Opportunity

Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.
Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the worlds greatest health threats.

Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.

Role Overview

We are seeking a Senior Data Scientist to join our Enterprise IT Advanced Analytics team in our company. This role offers an exciting opportunity to work on initiatives that support our Finance, Procurement, Human Resources, and related business partners. If you have a strong background in machine learning, data science, and optionally large language models, and are passionate about leveraging technology to drive business success, we would love to hear from you.

What will you do in this role

Understand the needs of the business and translate those needs into technical/DS/ML language.
Assess the applicability and develop machine learning and data science solutions to given problems with a focus on AI/ML methods, including large language models.
Leverage software engineering methods, including coding, testing, and documentation.
Apply data engineering and data modeling skills as needed to deliver the AI/ML solutions.
Use visual analytics techniques during the data and business exploration and model building, and, if needed, as a part of the client-facing solution.
Define, document, and execute small projects or sub-projects, managing risks and stakeholder involvement. Manage junior staff as a part of the delivery.
Within a project delivery, manage stakeholder relationships, including problem resolution and feedback collection.
Collaborate cross-functionally to deliver more complex IT or business solutions

What should you have

3+ years experience as a Data Scientist

Required

Advanced knowledge of statistical modelling and machine learning, in particular regression, classification and forecasting models
Proficiency in R and/or Python, git
Experience in software development and data engineering with a focus on ML solution build and deployment
Ability to apply data engineering and data modelling on a level supporting DS delivery
Ability to apply visual analytics techniques and tools on a level supporting DS delivery
Experience in project management, including risk management and stakeholder management
Working proficiency in English language

Preferred

Knowledge of large language models (prompt engineering, RAG, agents...), not limited to GPT
Knowledge of mathematical optimization techniques
Advanced MLOps skills DS/AI/ML solution build, deployment, monitoring
Experience in one or multiple of the supported business functions and types of data (structured and unstructured) existing across those functions
Knowledge of cloud services, in particular AWS stack
Knowledge of data science platforms: Dataiku, Databricks
Experience in a similar role in a global, research-oriented pharmaceutical company
Proven track record of implementing machine learning and data science solutions
Experience in managing stakeholder relationships
Demonstrated experience in software development and data engineering
Proven experience in project management

Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation.

Who we are

What we look for

#HYDIT2025

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Required Skills:

Business, Business Intelligence (BI), Computer Science, Data Analysis, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:

07/31/2025

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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Merck Sharp & Dohme (MSD)

Pharmaceuticals

Kenilworth

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Manager, Data Scientist