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Intellias · IT - Software Development

Senior Data Scientist

Croatia; Ukraine · Job Posted May 31, 2026
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Job Description

We are searching for an Data Scientist that can support our Data Science team. The work will have a clear focus on defining technical requirements and implementing those solutions at scale, as well as implementing data pipelines for feature engineering. A close collaboration with Data Scientists, MLs and Data Engineers ensures that the Business Requirements are understood, and the solution is connected to the data flow. Team Information: We are a team of 4 Data Scientists working on solutions for the business. Among others, we developed algorithms for predicting the probability of default of our customers; churn; fraud; cross-and-upselling potential. We are working agile (2week sprints) and enjoy discussions over the topics at hand. Each Data Scientist is currently responsible for different projects and products.

Job Responsibility

  • Support our Data Science team in developing
  • Implementing and maintaining AI/ML solutions
  • Defining technical requirements and implementing those solutions
  • Implementing data pipelines for feature engineering
  • Close collaboration with Data Scientists, ML and Data Engineers
  • Ensuring that the Business Requirements are understood and the solution is connected to the data flow

Requirements

  • 5+ years of experience with the professional maturity to collaborate with and advise internal business departments autonomously
  • Tech Stack Mastery: Advanced, hands-on development experience using Python and SQL, DBT is considered a plus
  • Cloud Infrastructure: Strong experience building and maintaining data workflows within Microsoft Azure and Snowflake environments
  • Sales ML Expertise: Proven track record in developing and deploying specific commercial models: Next Best Action (NBA) engines, Churn prediction, and Cross/Up-Selling models
  • Agile Problem Solving: Apply advanced statistical methods, regression models, and ML/AI algorithms in a fast-paced, agile environment
  • End-to-End Delivery: Full understanding of operationalization of custom AI solutions
  • Data Storytelling: Exceptional ability to translate complex technical concepts into audience-tailored presentations and narrative-driven insights
  • Value-Driven Mindset: Proactively generate independent Business Value and challenge existing problems to shape strategic business outcomes

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