Data Science Hub based in Warsaw is a place where we develop innovative solutions in the field of quantitative methods and apply it in the exciting world of globally connected Nestle Supply Chain and beyond.

Key responsibilities:

•    Work independently on data exploration and modelling
•    Support the development of appropriate data flows, visualizations, statistical and machine learning models that benefit and optimize business operations (primarily conducted in SAS)
•    Sustain and maintain quantitative solutions through implementation of new data
•    Involve in innovative projects within the area of Supply Chain
•    Support the continuous improvement of the Data Science Hub
 

Expectations towards candidates:

• 0-2 years of experience in similar position
• Master’s degree in Statistics, Econometrics, Mathematics, Computer Science, Big Data or similar studies
• Basic Knowledge of tools for statistical analysis: R, Python or SAS etc.
• Quantitative background - knowledge of statistical techniques and concepts (statistical tests, regression, feature selection, time series modeling, etc.)
• Good communication and presentation skills and willingness to grow
• High degree of curiosity
• Willingness to work in an international environment
• Fluent English is a must
   

Our offer:

• Contract of employment,
• Competitive benefit package: private medical care, Pension Fund, cafeteria program under the Social Fund, Multisport card, 50% meals co-financing in the company's canteen,
• Possibility to build professional experience in an international company in the FMCG industry with the highest work standards,
• Implementation of independent, responsible tasks in a dynamic environment,
• Work atmosphere based on respect, professionalism and kindness,
• Creating a career development path tailored to the aspirations and opportunities within the company,
• Flexible working hours and home office,
• Modern office in Mokotów (approx. 15 minutes from the Metro Wilanowska station),
• Access to an application that facilitates finding and booking free spaces in the company car park.