Job VC

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 role
Proficiency in Python or R and experience with core data science libraries and toolkits
Solid grasp of the full data science workflow: from ETL and EDA to feature engineering, modeling, and evaluation
Strong understanding of machine learning techniques for classification and regression tasks
Familiarity with descriptive and inferential statistics
Confident communication skills and a good sense of data visualization principles
Nice-to-have skills
Hands-on experience with Design of Experiments or recommender systems
Exposure to cloud platforms (e.g., Azure) and scaling analytical solutions
Working with APIs to gather external data, ideally from social media platforms
General software engineering skills
RESPONSIBILITIES
Support prediction modeling and measurement initiatives by scaling and deploying solutions together with global analytics hubs to improve commercial KPIs
Maintain and update data pipelines, monitor model performance and stability across multiple use cases and markets
Contribute to live testing activities by enhancing the test-and-learn platform and helping stakeholders design and run in-market experiments
Optimize online promotion strategy, including calendar planning, execution logic, and personalization to drive higher conversion and long-term customer value
Collaborate with the broader data science team to refine existing tools, methods, and best practices