Senior Data Scientist

Merck Merck · Pharma · Central Bohemian, Czech Republic

Senior Data Scientist role at Merck supporting R&D, manufacturing, supply chain, commercial, and animal monitoring through data science and AI delivery. Focuses on selecting analytical techniques, choosing tools and infrastructure, ensuring quality delivery, providing technical mentorship, leading projects, developing reusable code, communicating with stakeholders, and building mathematical, statistical, and machine learning models using R/Python. Requires MSc/PhD in a quantitative field and experience with predictive ML pipelines.

What you'd actually do

  1. Selecting appropriate analytical techniques and algorithms to solve business challenges.
  2. Ability to choose the right tools and the right infrastructure for data science projects and articulate those decisions.
  3. Ensuring quality delivery according to the standards and best practices methodology.
  4. Technical mentorship to junior team members.
  5. Formulating and leading data science projects.

Skills

Required

  • MSc or PhD in Mathematics, Statistics, Econometrics, Machine Learning, Computer Science, Physics, or other related field.
  • Extensive knowledge in one or more of the following areas: statistical analysis and modelling, probability, stochastic processes, econometrics, machine learning, optimization, simulations, and software development.
  • Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including the ability to interpret and use the analytics results within the real business context.
  • Experience with version control systems such as git and collaboration tools.
  • Business Intelligence (BI)
  • Business Processes
  • Business Process Modeling
  • Collaboration Tools
  • Computer Science
  • Database Design
  • Data Engineering
  • Data Modeling
  • Data Science
  • Data Visualization
  • Econometrics
  • Machine Learning (ML)
  • Macroeconomics
  • Manufacturing
  • Product Lifecycle
  • Research and Development
  • Senior Management Reporting
  • Software Development
  • Stakeholder Relationship Management
  • Stochastic Models
  • Stochastic Processes
  • Waterfall Model

Nice to have

  • Experience and/or ability to quickly learn new tools like Databricks, HPC.
  • Experience with simulations, synthetic data, and building digital twins would be a big advantage.
  • Passion for advanced analytics and mathematics.
  • Passion for good quality code.
  • Record of delivering successful data science products is an advantage.

What the JD emphasized

  • Record of delivering successful data science products is an advantage
  • Experience with building predictive ML pipelines
  • Experience with simulations, synthetic data, and building digital twins would be a big advantage

Other signals

  • building mathematical, statistical, and machine learning models
  • driving the development of the SW code to execute data science algorithms
  • Experience with building predictive ML pipelines