Job Description

Did you always want to work in a company where your work can have a real impact? Do you enjoy working in an international environment with lots of room for personal development?   

We have an exciting opportunity for a: Data Scientist

Welcome to our team
The S&T Data Science & Biostatistics team is at the forefront of enabling data‑informed decision‑making across Global Animal Health Manufacturing. By combining advanced statistical methodologies, modern data science techniques, and deep domain expertise, we help drive operational excellence, product quality, and innovation throughout the organization.

As we continue to expand our impact, we are seeking a Data Science professional with strong statistical knowledge who is eager to contribute to challenging analytical problems, collaborate with cross-functional partners, and help shape the data strategy that supports our global manufacturing network. Joining our team means becoming part of a dynamic, supportive environment where scientific rigor, curiosity, and continuous learning are central to everything we do.

Purpose of the role
This role offers the opportunity to apply advanced statistical methods to complex challenges in pharmaceutical manufacturing, where data science applications differ from standard use cases: limited data availability, complex process mapping, and black-box bioprocesses that require robust statistical design and simulation.

You will contribute to key business areas such as quality control, yield optimization, maintenance, deviation management, and regulatory submissions. As part of an innovation-driven and globally dispersed team, this position provides an excellent platform to expand your expertise in both advanced data science and applied statistics.

Key responsibilities

• Lead end‑to‑end data science and statistical projects to address manufacturing challenges, applying advanced methods (DOE, SPC, regression, GLMs, multivariate analysis, optimization, simulation, predictive modeling, machine learning, etc.).
• Perform data quality assessments, maintain metadata awareness, and prepare reports for stakeholders and regulatory submissions.
• Develop reproducible, well‑documented code and data science pipelines.
• Automate repeatable tasks and integrate data science into operational workflows.
• Communicate complex statistical and modeling results clearly, to both technical and non-technical audiences, and provide actionable recommendations.
• Stay current with modern predictive modeling, statistical methods, and machine learning methodologies.
• Collaborate closely with Operations, Quality, Engineering, and Regulatory teams across regions.

Your profile

• MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or related field with strong statistical and data science emphasis.
• Minimum 2 years’ hands-on experience in a data science, statistician or biostatistics role, preferably in pharmaceutical or manufacturing environments.
• Knowledge of DOE, SPC, GLMs, multivariate methods, simulations, predictive modeling, time series, stochastic processes, optimization, and machine learning.
• Proficiency in R or Python.
• Strong coding practices, with experience using collaborative tools (e.g., Git).
• Ability to work with incomplete or imperfect data and interpret results within the manufacturing/business context.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Comfortable working independently as well as collaboratively in a global team.

What we offer
We welcome you to a truly global, dynamic and challenging environment with great opportunities for personal development. Our benefits are very competitive

• Competitive salary
• 35,5 days of leave
• Attractive collective health care insurance package with considerable reduction rates
• Solid Pension Plan
• Bonus plan subject to the company annual results
• Flexible working arrangements

Animal Health Division
Our Animal Health division is a trusted global leader in veterinary medicine, dedicated to the health and well-being of animals. We are a global team of professionals working together to make a positive difference in animal care and the world’s food supply and have a deep sense of responsibility towards our customers, consumers, animals, society and our planet. We offer one of our industry’s most innovative portfolio of products, services and technologies that serve to prevent, treat, and control diseases across all major farm and companion animal species.                    

For questions about this vacancy
Please send an email including the vacancy number and job title to the following email address: [email protected]

Required Skills:

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

Preferred Skills:

Current Employees apply HERE

Current Contingent Workers apply HERE

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

03/31/2026

*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.