Hybrid Data Scientist

Posted 5 hours ago

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About the role

  • Data Scientist at Recommend transforming data into insights for global brands. Join a growing team and leverage your data skills.

Responsibilities

  • 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)

Job title

Data Scientist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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