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bigquery snowflake r sql python📋 Description
- Lead high-impact projects: design and deliver end-to-end data science solutions.
- Uncover insights: analyze large datasets to identify trends, surface opportunities, and influence decisions.
- Build models: develop and deploy predictive and prescriptive ML models.
- Enable experimentation: design A/B tests and causal inference studies.
- Collaborate cross-functionally: work with product managers, engineers, and leaders.
- Promote data fluency: build dashboards and self-service analytics tools.
🎯 Requirements
- 5+ years as a Data Scientist in fast-paced environments
- Proficiency in SQL; experience with Redshift, BigQuery, Snowflake
- Strong analytical skills; fluency in Python or R
- ML libraries (scikit-learn, XGBoost) and visualization tools (Tableau/Looker/Plotly)
- Solid understanding of experimental design, hypothesis testing, causal inference
- BSc/MSc/PhD in Statistics, CS, Mathematics, Economics, or similar
🎁 Benefits
- Culture: People-first, collaborative, inclusive environment
- Learning: Learning and development with regular internal talks
- Compensation: Salary, pension, health insurance, annual bonus
- Impact: Drive impact through data in a high-growth environment
- Growth: Collaborative culture with room to grow and experiment
- Data access: Access to rich data and a modern analytics stack
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