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

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

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)

Data Scientist

Key skills