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redshift python pandas databricks airflow📋 Description
- Analyze massive customer datasets to extract insights.
- Explain model performance and risk policies to customers.
- Advocate for Data Science to educate on Socure solutions.
- Create data stories to show value and reduce identity fraud.
- Lead thought leadership for next-gen models and product.
- Build tools to speed analysis and reproducibility.
🎯 Requirements
- Degree in quantitative field; advanced degree preferred.
- 3+ years in data science, analytics or analytics engineering.
- Proficiency in Python and 2+ years with large datasets.
- SQL for relational databases; cloud tools AWS/Azure/Databricks/GCP.
- Knowledge of supervised and unsupervised ML methods.
- Excellent communication; explain ML to non technical audiences.
🎁 Benefits
- Remote-friendly role based in the USA.
- High autonomy, ownership, and impact.
- Collaborative cross-functional GTM collaboration.
- Shape next-gen risk models and product.
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