ABOUT COMPANY
SoftServe Business Systems was founded in 2003. We aim high; our mission is to lead the digital revolution in the FMCG industry. It means delivering the best products & services possible that empower businesses to grow and improve efficiency.
We are a product company, and this affects our day-to-day activities. Our team is highly involved in the client’s needs, we value business ability, and we take every step with extra care. Among our clients are businesses like AB InBev, Unilever, JDE, PepsiCo, Henkel, and others.
Our customer is Anheuser-Busch InBev (AB InBev), the biggest brewery company in the world. We own over 630 beer brands (including Budweiser, Stella Artois, Hoegaarden, Beck’s, Leffe, Chernihivske) in 150 countries and are considered to cover 28% of the global beer market worldwide. European HQ is in Leuven, Belgium.
REQUIREMENTS
4+ years in a Data Scientist or similar analytical roleProficiency in Python or R and experience with core data science libraries and toolkitsSolid grasp of the full data science workflow: from ETL and EDA to feature engineering, modeling, and evaluationStrong understanding of machine learning techniques for classification and regression tasksFamiliarity with descriptive and inferential statisticsConfident communication skills and a good sense of data visualization principlesNice-to-have skills
Hands-on experience with Design of Experiments or recommender systemsExposure to cloud platforms (, Azure) and scaling analytical solutionsWorking with APIs to gather external data, ideally from social media platformsGeneral software engineering skillsRESPONSIBILITIES
Support prediction modeling and measurement initiatives by scaling and deploying solutions together with global analytics hubs to improve commercial KPIsMaintain and update data pipelines, monitor model performance and stability across multiple use cases and marketsContribute to live testing activities by enhancing the test-and-learn platform and helping stakeholders design and run in-market experimentsOptimize online promotion strategy, including calendar planning, execution logic, and personalization to drive higher conversion and long-term customer valueCollaborate with the broader data science team to refine existing tools, methods, and best practices