Job Description

Our company is a leading global pharmaceutical company dedicated to improving the health and well-being of people around the world. With a rich history spanning more than a century, our company focuses on discovering, developing, and delivering innovative products spanning both the human and animal health domains. Committed to scientific excellence, our company invests heavily in research and development to advance medical science and provide effective solutions for patients. Through collaboration, innovation, and a patient-centric approach, our company strives to make a meaningful impact on global healthcare by providing high-quality, safe, and accessible treatments.

Based in the Global Animal Health Manufacturing, the COE Data Science & Biostatistics team is looking for an experienced senior data scientist with affinity for statistics to join our team. The team plays a critical role making data-informed manufacturing decisions spanning all key areas within manufacturing e.g., capacity optimization, process improvement, quality control, maintenance, yield optimization, regulatory filing for new products, and deviation management, etc.

As a senior data scientist in the COE Data Science & Biostatistics team, you will perform the following activities

• Selecting appropriate analytical techniques and algorithms to best solve business challenges

• Ability to choose right tools and infrastructure for data science projects and articulate those decisions

• Ensuring quality delivery according to the standards and best practices methodology

• Technical mentorship to junior team members

• Leading data science projects

• Driving the development of the SW code (quality, documented and reusable) to execute data science algorithms

• Communication and collaboration with diverse stakeholders

• Understanding of the business context of the decisions to be supported

• Building mathematical or statistical models using the available data

• Use of R or python to design and develop analytical models and data science projects using advanced techniques such as simulations, optimizations and machine learning

• Assessment of the output of the analytical solution and use the data to draw conclusions, identification of options, and making recommendations

• Interpret the results and provide the advice to the business stakeholders

• Building and maintaining of knowledge on the data sources, the data quality and metadata

• Recognition of the repeatable situation and suggesting the appropriate level of automation of analytics

• Promotion of a culture of modelling and analytics as a differentiator and competitive advantage - an environment that places high value on embedding analytical tools within business processes, and using information to make fact-based decisions

• Staying in touch with modern methodology within predictive modelling

How we see an ideal candidate

• MSc Degree in Computer Science, Mathematics, Statistics, Physics, Economics or other related fields

• At least 2 years of Data Science hands-on experience in Manufacturing space

• Passion for advanced analytics (mathematics)

• Passion for good quality code

• Demonstrated proficiency in statistical techniques such as Design of Experiments (DOE), Statistical Process Control (SPC), regression analysis, general linear models, and multivariate methods

• Working with multiple collaboration DevOps tool such as JIRA, Git and Confluence is a plus

• The ability to formulate models, analyze them, and program and run in some appropriate system (for example R or Phython)

• Experience and/or ability to quickly learn new tools like Dataiku, SageMaker, Databricks, Mlflow Spark/ distributed compute environment

• Extensive knowledge in one or more of the following areas: mathematical analysis and modelling, probability, stochastic processes, econometrics, machine learning, optimization, simulation, software development

• Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives

• Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use the analytical results with real business context

• Ability to communicate statistical concepts and analyses to non-statisticians

• Ability to work both independently and collaboratively within a globally dispersed team

What we offer

• Exciting work in a great team, global projects, international environment

• Opportunity to learn and grow professionally within the company globally

• Hybrid working model, flexible role pattern

• Pension and health insurance contributions

• Internal reward system plus referral program

• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution

• Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card

• Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programs

• Up-to-date laptop and iPhone

• Parking in the garage, showers, refreshments, massage chairs, library, music corner

• Competitive salary, incentive pay, and many more

Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!

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):

Required Skills:

Business Intelligence (BI), 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:

04/3/2025

*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.