Related skills
aws sql python pandas gcp📋 Description
- Analyze hypotheses by interpreting large-scale data and identifying trends.
- Integrate new data sources and assess external data for compliance.
- Extract features from datasets to drive ML models and product performance.
- Translate data insights into business recommendations for product decisions.
- Apply advanced statistics and modeling to large datasets for deep insights.
- Use Python and SQL for large-scale data analysis.
🎯 Requirements
- 4+ years of data analytics and ML experience.
- Strong data science foundation: statistics and ML models.
- Proficiency in Python for data analysis (Pandas, NumPy, Scikit-learn).
- Strong SQL skills for data retrieval and manipulation.
- Experience with MLOps (MLflow, Kubeflow) and cloud platforms (Azure ML preferred, AWS, GCP).
- Ability to present insights to non-technical stakeholders.
🎁 Benefits
- Free premium medical, dental, life and vision insurance
- Generous 401(k) match
- Paid sick leave per policy
- Celebrations for team goals and events
- Virtual events, happy hours and team-building activities
- Unlimited DTO — time off
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