Our success story began in 1992, when we opened the first IKI store, which was successful due to its exceptional range and high-quality products. Currently, IKI is the second largest retail chain in Lithuania with almost 230 stores in 75 Lithuanian cities. IKI Lietuva is one of the largest employers in the country. We are 5,900 professionals who want our customers to return to our stores every day, where they would not only be pleasantly served, but also buy the highest quality goods at an attractive price. IKI belongs to the REWE group, one of the largest retail chains in Germany. The REWE Group currently operates in 22 European countries with more than 15,000 stores.

Position title: Data Science Analyst
Place: Pilaitės pr. 42, VILNIUS LTU
For more information please contact: Simona Venslovė, +37069072710

KEY RESPONSIBILITIES

• Creating/prototyping models to optimize shelf space, category allocation, promotions, product assortment, etc.
• Helping and mentoring analysts from other departments to increase their analytical skills
  
• Optimizing our existing data science products
  
• Automating and improving our A/B tests
  
• Working with business departments to help them solve their analytical problems
  
• Coming up with new ideas how we can apply analytics to improve our business
  
• Collaborating with data scientists and fostering know-how sharing within IKI and across REWE International companies

REQUIREMENTS

• Strong Python or R programming skills (knowledge of core libraries in respective language to work effectively as a data scientist)
  
• Knowledge how to develop maintainable code that we can take from prototype all the way to production
  
• Knowledge of JavaScript or Python web frameworks (Django, Flask) is a plus
  
• Strong SQL skills (ideally Oracle PL/SQL)
  
• Familiar with GIT
  
• Familiarity with GITLAB CI/CD is a plus
  
• Fluency in English
  
• University education in a strongly quantitative subject such as mathematics, computer science, software engineering, economics, physics, etc.
  
• Alternatively, proven track-record of building analytics solutions (e.g. Github sample projects, etc.)
  
• Ideally already industry experience working as a data scientist for more than 2 years
  
• Retail/eCommerce knowledge is a plus, but not a requirement

COMPANY OFFERS

• Position in an international, modern and trustworthy company
• Opportunity to grow as an individual and professional
• Health insurance
• Employee orientated and very positive work culture
• Motivating salary package (gross): 3 000,00 - 4 000,00 EUR