Data Scientist

4 tygodni temu

Warszawa, Mazovia, Polska Nestlé SA Pełny etat

As the Data Science Hub Europe in Nestlé, 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 the 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.
  • Proficiency in at least one language employed in ML & statistical analysis (Python or R preferred) and its use with version control (git) and testing.
  • Practical knowledge of SQL.
  • 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 the development and production phase.

You will draw even more 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, incl. documentation of projects.

In return we offer:

  • Exciting work in a multi-cultural team of bright minds – data lovers and practitioners.
  • Flexible remote work options, or – if you 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 Nestlé products.

We are Nestlé, the largest food and beverage company. We are 308,000 employees strong driven by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity, and respect for our future. With more than CHF 91.4 billion sales in 2018, we have an expansive presence with 413 factories in more than 85 countries. We believe our people are our most important asset, so we'll offer you a dynamic inclusive international working environment with many opportunities across different businesses, functions, and geographies, working with diverse teams and cultures. Want to learn more? Visit us at www.nestle.com.

Nestlé is committed to the accessibility of its recruitment process. If you require an adaptation during the recruitment process, please talk to your recruiter so we can support you effectively. All information will be treated confidentially.

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