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HotSchedules Corporate Logo HotSchedules Corporate · IT - Software Development

Data Scientist (Junior/Mid)

Bulgaria, Sofia · Job Posted June 09, 2026
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Job Description

The Data Scientist will be an integral part of the Data Science Team at Fourth. The role fits into our broader team together with ML Engineers, Data Engineers and Data Analysts. The focus will be to build data-powered solutions forming part of our product. Such solutions are typically linked to demand prediction, labor prediction, inventory and intra-day planning. The main purpose of the Data Scientist is to define and execute data science experiments, to create PoC and to move them to production with support from ML and Data Engineers. Most of the work is done in Python (with various packages and extensions: pandas, sklearn, TensorFlow, PyTorch, scikit-learn etc.).

Job Responsibility

  • Exploratory data analysis
  • Feature engineering
  • Time series forecasting
  • Model development, deployment and monitoring
  • A/B testing
  • Using strong business acumen, as well as the ability to communicate findings and mine vast amounts of data for useful insights
  • Using these insights to influence how an organisation approaches business challenges
  • Applying a combined knowledge of computer science, modelling, statistics, analytics and maths to solve problems
  • Sifting and analysing data from multiple angles, looking for trends that highlight problems or opportunities
  • Communicating important information and insights to business and IT leaders
  • Making recommendations to adapt existing business strategies

Requirements

  • Strong statistical and machine learning knowledge
  • Use AI tools for coding and strong coding skills (clean and commented code, version control, documentation)
  • Ability to develop high-performing end-to-end machine learning models (data processing, feature engineering, model training, scoring, monitoring)
  • Experience with feature engineering using Python, SQL or similar tools
  • Experience with machine learning using Python, Spark, PyTorch, scikit-learn or similar languages and libraries
  • Abilities to create powerful visualisations which to help communication of data science insights and results to business stakeholders

Nice to have

  • Knowledge of or hands-on experience with Large Language Models (LLMs) and prompt engineering
  • Exposure to agentic AI concepts and frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar)
  • Experience building or working with AI agents and multi-step reasoning pipelines

What we offer

  • 25+ days off, as well as birthday day off and 4 charity days off per year
  • Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
  • Team-centric atmosphere
  • Encouraging healthy lifestyle and work-life balance including supplemental health insurance
  • New parents bonus scheme
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