Senior Data Scientist

📋 Description

• Apply analytical methods: statistical analysis, regression, clustering, forecasting, and classification.
• Design end-to-end analytical solutions from data extraction in BigQuery and MariaDB to insights.
• Develop and maintain data pipelines and tooling using Python and SQL.
• Use AI-powered tools Windsurf, Gemini, Claude to accelerate experimentation.
• Build lightweight apps and APIs using FastAPI to share models and insights.
• Own data architecture decisions such as schema design, data modeling, and pipeline reliability.

🎯 Requirements

• 7+ years of professional experience in data science or analytics.
• Expert SQL with BigQuery and MariaDB; query optimization and modeling.
• Strong Python and/or JavaScript; production-grade code.
• Deep understanding of analytical methods such as regression, clustering, time series, and A/B testing.
• Solid data architecture knowledge including warehouses, lakes, and pipelines.
• Proficiency with AI powered development tools Windsurf, Gemini, Claude, Cursor.

🎁 Benefits

• Globally distributed team environment.
• Remote or hybrid work options (location dependent).
• Challenging projects with company-wide impact.
• Competitive compensation, 25 days paid annual leave, plus holidays.
• A culture that values curiosity, clean engineering, and people who love what they do.