Mondelēz International - centrála

Mondelēz International - centrála

Data Scientist

  • Smlouva na dobu neurčitou 
  • Počáteční datum:  
  • Praha
  • 3 rok VŠ


Mondelēz International - centrála

Mondelēz International - centrála

  • Spotřební zboží
  • Více než 2000 zaměstnanců


Data Scientist

  • Smlouva na dobu neurčitou 
  • Praha

Tato pozice byla obsazena!

O společnosti

Umí vykouzlit úsměv na rtech dětí i dospělých. Jsou předním výrobcem cukrovinek a pečených produktů, na kterých si pochutnává už řada generací. Na český a slovenský trh dodávají celkem 16 značek a více než 500 druhů výrobků. V jejich portfoliu najdeš takové lovebrandy, jako jsou čokolády Milka a Toblerone, sušenky Oreo a BeBe Dobré ráno nebo jemné pečivo Brumík. Nesmíme opomenout ani lokální značky Opavia, Fidorka, Figaro, Tatranky a lázeňské oplatky Kolonáda.

Popis pozice

We at Mondelez are building a crack team that will solve business problem using data and the latest data science tool. As a part of the newly formed demand modelling group this will offer an unique opportunity for you to showcase your data science skill and make a difference.

The role is to develop, deploy and maintain high quality, reliable and sustainable analytics models providing business insights. The main focus is on providing statistical and machine learning forecasting service and build trust and confident with business partners. This requires to work closely with stakeholders to understand their needs and develop business case on how to turn data into critical information and knowledge that are actionable, to be used for policy making, streamlining operations or developing solutions. This role goes beyond the local business and offers a wider look at the business at regional level.

Main Responsibilities:
Own modelling responsibility for a segment of the market and independently deliver
Collaborate with colleagues in a multi-locational team with passion for excellence in analytics
Build statistical modelling and predictive analytics solutions to improve supply chain performance especially better and efficient forecast
Guide market teams to get to the most efficient statistical forecasting by evaluating results and ensure segmentation and automation is in place
Build strong relationships with business stakeholders and related business areas to understand and develop statistical analytics solutions for key business needs
Research and introduce new analytics technology and business trends with a clear continuous improvement mindset

Vítané zkušenosti

University degree in a quantitative field such as Statistics, Applied Mathematics, Engineering, Computer Science, Economics or similar
Strong applied knowledge of analytical techniques in statistical modelling and machine learning with exposure to time series analysis / forecasting
ML techniques like Neural Network, Gradient Boosting, Random forest will be desirable
Experience with programming software like SAS, R, Python
Experience of working with FMCG, Food & Beverage or Retail data and understanding the business process will be an advantage
Fluent English is a must

Proces náboru

Otázky a odpovědi ohledně nabídky
  • Add to favorites
  • Share on Twitter
  • Share on Facebook
  • Share on LinkedIn

We thought these articles might interest you

Get inspired with this selection of articles

How to write speculative cover letters

You've found your dream company. But there are no open positions. Should you give up? No! Use these tips to write a strong speculative cover letter.