Descriere job

Today technology is driving the world. And at METRO digital we are driving the technology for one of the leading international wholesalers specializing in food - METRO. From ecommerce to checkout, to delivery software, we work on a wide range of products to meet the needs of our users - METRO’s customers and employees from across 25 countries. With passion and responsibility, we move the wholesale industry towards digitization and leverage METRO’s long history and expertise in B2B for building a more sustainable market ecosystem.


Purpose of your new department:


METRO digital is looking for a Data Scientist in the Analytics and Data Science Hub, that will leverage data to innovate and make intelligent decisions.


Curious to get more information about the team, the product, or the tech stack? 

Your new challenges:    

  • Your responsibilities may range from utilizing data to draw meaningful insights and solve business problems, to developing and implementing advanced analytical products, depending on the use case of the supported business products/solutions
  • You apply your skills in analytics, statistical modelling or machine learning to translate business requirements into analytical solutions whereby identifying and preparing relevant input data and appropriate internal or external data
  • You work on use cases emerging from business domains like B2B marketing, assortment optimization, pricing or supply chain management
  • Research new analytical techniques and best practices within the industry. Prototype new analytical approaches that can address internal customer needs. Design and run large-scale experiments that gain new insights or validate approaches
  • You use modern big data analytical technologies like Google Cloud Platform in a data rich environment
  • You interface regularly with MCC country business analysts and corporate stakeholders to capture their needs and requirements for analytical solutions. As well as, document, visualize and present achieved results towards business stakeholders

Required key competencies and qualifications:  


  • University degree in statistics, mathematics, physics or engineering with a focus in analytics, machine learning, statistical learning methods and approaches
  • More than 3 years of experience in successfully working as part of a professional Data Science unit, ideally, in the area of retail / wholesale
  • Practical experience in big data technologies, cloud services. Experience with Google Cloud Platform would be a strong plus
  • Fluency in SQL and Python
  • Ability to expand own knowledge to business domains like marketing, assortment optimization, pricing, supply chain
  • Very strong analytical skills and ability to contribute to an open, international team culture to drive the knowledge exchange and learning of all team members
  • Continuous self-learning attitude combined with high level of curiosity to explore new ways of working
  • Our international environment requires that you must be fluent in English (both written and spoken)
  • Strong analytical and problem-solving skills
  • Experienced and self-motivated professional with the ability to work in a dynamic and demanding environment
  • Having an agile mind-set to work in scrum team
  • A focus on customer service/satisfaction with strong interpersonal skills and responsiveness
  • Ability to build strong working relationships and work within a global, remote workforce



Our general Benefits:


  • Work life-balance: flexible working time, work from home forever, celebrate your birthday with a free day;
  • Personal growth: trainings in the area of soft, technical and business skills, free Bookster account, opportunity to learn and work with a variety of technologies;
  • Well-being: online sport activities, fitness centers discounts, health and life insurance, private pension, lunch tickets;
  • Working mode: multicultural, self-organizing teams, agile environment;