Job description

As the Data Science Hub Europe in Nestle, we continuously search for new talents to join our international team dedicated to delivering efficient and high-quality data solutions. In your role of a Data Scientist, you will collaborate with fellow Data Scientists , Analysts and Engineers to drive innovation and develop top-notch analytical models and methods. Your skill, competence and creativity will directly support and impact critical business decisions in areas of supply chain and marketing.

In this role you will:

  • Actively participate in each stage of the data science lifecycle, from business understanding through model development to industrialization
  • Design, build and maintain statistical/machine learning models to optimize business operations
  • Explore and experiment with innovative ML techniques and approaches to maximize value generated by the team
  • Be a thought leader in development of methodology within big scale transformational projects
  • Communicate model & analysis results to a non-technical audience that includes stakeholders and senior management, and win their buy-in
  • Coach and mentor other team members on multiple aspects of a data scientist role

You are the right candidate if you bring along:

  • 2+ years of professional experience building and industrializing machine learning solutions
  • Very good command of Python and its use with version control (git) and testing
  • Practical knowledge of SQL, PySpark & Databricks
  • Experience in application of ML concepts and methodologies (regression and classification, time series modeling, feature engineering and selection, regularization etc.)
  • Solid knowledge of ML techniques and algorithms (incl. various regression types, ensembles, clustering, decision trees, boosting, etc.) and their pros and cons
  • Ability to reframe business challenges into data science problems and adjust ML methods & tools accordingly
  • Good communication and presentation skills, in particular facilitation of grasping complex topics by broad audiences, incl. non-technical stakeholders
  • Track record of effective collaboration with IT / data engineering teams in development and production phase

You will draw even more of our attention if you have:

  • Broad familiarity with visualization tools (Power BI, R Shiny, etc.) and solutions based on them
  • Experience in cross-functional and/or international projects
  • Interest in codifying and disseminating knowledge & best practices
  • Knowledge of other languages used in data science (R, Julia, etc) and their pros and cons

In return we offer:

  • Exciting work in a multi-cultural team of bright minds – data lovers and practitioners
  • Flexible remote work options, or – if your prefer – access to a modern office in Warsaw’s Mokotów, walking distance from Metro Wilanowska
  • Internal training programs and access to external knowledge resources aimed at expanding your skills and competence
  • Support in building your ML skills and portfolio through participation and presenting at conferences and events
  • Opportunities to develop further in our Data Science Hub as well as in the international organization
  • Option of full-time contract
  • All kinds of juicy fringe benefits: private medical care, pension fund, cafeteria program, Multisport card, co-financing of meals in the company's canteen, discounts for Nestle products …
#Supply Chain

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