Merck Gruppe - MSD Sharp & Dohme
Animal Health IT Data Science and AI team is looking for a Data Scientist. Our team supports company's Animal Health business areas – research and development, manufacturing, supply chain, commercial, and animal monitoring – through data science and AI delivery. This role allows you to work on impactful data science products and collaborate with other data scientists and AI engineers, building a community that learns, challenges, and inspires each other. Our team is shaping the AH Data Science and AI strategy, serves as a DS and AI community facilitator and helps non-technical colleagues to mature their understanding of DS and AI.
Primary Job Responsibilities
Select appropriate analytical techniques and algorithms to best solve business challenges. Participate in choosing right tools infrastructure for data science projects. Write efficient and maintainable code following best practices in software engineering to implement data science algorithms. Provide precise and timely communication (both verbal and written) & collaboration with diverse stakeholders. Understand the context behind business decisions. Develop analytical models and data science solutions in R/Python, leveraging advanced techniques including simulations, optimization, and machine learning. Assess the output of analytical solution and interpret data to draw conclusions, identify options, and provide recommendations to stakeholders. Build and maintain knowledge on the data sources, the data quality and metadata. Recognize repeatable situations and suggest the appropriate level of automation of analytics. Desired Experience and Skills
2+ years of experience in Data Science or PhD. Passion for advanced algorithms and good quality code. Strong programming skills in R and/or Python. Strong communication and interpersonal skills, including the ability to make high-level presentations to senior executives. Extensive knowledge in one or more of the following areas: mathematical analysis and modelling, probability, stochastic processes, econometrics, machine learning, optimization, simulations, software development. The ability to formulate models, analyze them, program, and run in some appropriate system. Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use the analytics results within the real business context. Experience with version controls systems and collaboration tools (e.g., Git, Jira). Experience and/or ability to quickly learn new tools (e.g., Databricks). Ability to work both independently and collaboratively within a global team. Education Requirement
MSc or PhD in Mathematics, Statistics, Econometrics, Machine Learning, Computer Science, Physics or other related field. 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 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, discount programs Up-to-date equipment Competitive salary, incentive pay, and many more Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
Required Skills
Algorithms Analytical Thinking Communication Data Science Econometrics Interpersonal Relationships Machine Learning (ML) Mathematical Analysis Mathematics Modeling Problem Solving Python (Programming Language) R Programming Software Code Quality Software Development Stochastic Processes Version Control System Requisition ID
R379335 Job Posting End Date
01/31/2026
#J-18808-Ljbffr
Select appropriate analytical techniques and algorithms to best solve business challenges. Participate in choosing right tools infrastructure for data science projects. Write efficient and maintainable code following best practices in software engineering to implement data science algorithms. Provide precise and timely communication (both verbal and written) & collaboration with diverse stakeholders. Understand the context behind business decisions. Develop analytical models and data science solutions in R/Python, leveraging advanced techniques including simulations, optimization, and machine learning. Assess the output of analytical solution and interpret data to draw conclusions, identify options, and provide recommendations to stakeholders. Build and maintain knowledge on the data sources, the data quality and metadata. Recognize repeatable situations and suggest the appropriate level of automation of analytics. Desired Experience and Skills
2+ years of experience in Data Science or PhD. Passion for advanced algorithms and good quality code. Strong programming skills in R and/or Python. Strong communication and interpersonal skills, including the ability to make high-level presentations to senior executives. Extensive knowledge in one or more of the following areas: mathematical analysis and modelling, probability, stochastic processes, econometrics, machine learning, optimization, simulations, software development. The ability to formulate models, analyze them, program, and run in some appropriate system. Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use the analytics results within the real business context. Experience with version controls systems and collaboration tools (e.g., Git, Jira). Experience and/or ability to quickly learn new tools (e.g., Databricks). Ability to work both independently and collaboratively within a global team. Education Requirement
MSc or PhD in Mathematics, Statistics, Econometrics, Machine Learning, Computer Science, Physics or other related field. 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 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, discount programs Up-to-date equipment Competitive salary, incentive pay, and many more Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
Required Skills
Algorithms Analytical Thinking Communication Data Science Econometrics Interpersonal Relationships Machine Learning (ML) Mathematical Analysis Mathematics Modeling Problem Solving Python (Programming Language) R Programming Software Code Quality Software Development Stochastic Processes Version Control System Requisition ID
R379335 Job Posting End Date
01/31/2026
#J-18808-Ljbffr