Data Scientist
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full-time
Posted on:
Location Type: Hybrid
Location: Zagreb • Croatia
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About the role
- Aggregate and process structured and unstructured data from multiple sources (APIs, databases, CSVs, etc.)
- Clean, transform, and analyze datasets for actionable insights
- Apply clustering techniques and segmentation (e.g., K-Means, DBSCAN, hierarchical clustering)
- Build and evaluate data models for internal tools and business needs
- Communicate findings through clear visualizations and concise summaries
- Collaborate closely with developers, product managers, and business stakeholders
Requirements
- Minimum 3 years of hands-on experience in data science or a similar analytical role
- Strong proficiency in Python and commonly used libraries: pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
- Solid understanding of data structures, statistics, and machine learning fundamentals
- Experience working with relational databases (SQL)
- Ability to structure and interpret complex datasets independently
- Communication skills, both written and verbal
- References from previous projects or employers are required
- Nice to Have: Experience with cloud platforms (e.g., Azure, AWS, GCP)
- Familiarity with time-series data, anomaly detection, or recommender systems
- Exposure to data visualization tools like Tableau or Power BI
Benefits
- Modern office in a central location, with collaborative workspaces and a friendly team culture
- Extra vacation days beyond the national standard
- Annual holiday and Christmas bonuses
- Performance-based bonuses tied to individual and team results
- Equity opportunity through our ESOP (Employee Stock Ownership Plan)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencePythonpandasnumpyscikit-learnmatplotlibseabornSQLclustering techniquesmachine learning
Soft Skills
communication skillscollaborationanalytical thinkingproblem-solvingindependence