Were looking for an experienced Data Scientist to join our growing team! If youre passionate about turning complex scattered data into meaningful insights and have a strong command of Python and its data libraries we want to hear from you.
Tasks
- 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
We offer a range of benefits to support your growth wellbeing and long-term success:
- 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)
Join Recommend as a Data Scientist and innovate content solutions for global brands. Be part of a dynamic team in thriving industry. Your expertise can make a difference!