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aws sql python pandas databricks๐ Description
- Scale Growth: drive user growth and retention strategies.
- Collaborate with lifecycle marketing and UA to optimize the funnel.
- Lead experimentation, causal inference, and ML for growth.
- Build scalable data tools for testing and segmentation.
- Partner with product and engineering on feature ideas.
- Mentor the team and set best practices for AI-native work.
๐ฏ Requirements
- 4+ years in data science, ML, or analytics focused on growth.
- Expert in causal inference, A/B testing, and statistical modeling.
- ML models for segmentation, personalization, predictive analytics.
- Python (Pandas, Scikit-learn, PyTorch/TensorFlow) + SQL.
- Experience with Spark, AWS, Databricks; geospatial data a plus.
- Bachelor's in Data Science/CS/Statistics or related field.
๐ Benefits
- Competitive pay and benefits.
- Medical, dental, vision, life insurance.
- 401(k)/RRSP with matching options.
- EAP for mental wellness.
- Flexible PTO and company-wide days off.
- Remote workspace equipment reimbursement.
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