DATA SCIENTIST LEAD
5 days ago
Seattle, WA, United States
Talent Groups
Full-time
Free with email or Google
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What they’ll do
- Validate the score against customer outcomes such as churn and care contacts
- Build and optimize large-scale data pipelines in Databricks
- Catch and fix data quality issues before results reach leadership
- Document methodology, data lineage, and logic changes
- Explain findings to non-technical and executive audiences
Must-haves:
- Python/PySpark and advanced SQL
- Databricks performance tuning (partitioning, Delta optimization, cluster sizing)
- Applied statistics, especially predictive modeling for yes/no outcomes like churn
- Git/version control and production-quality coding habits
- Habit of checking whether results make sense as they work; skeptical of results that look too good
- Strong documentation and organizational discipline
Strong preferences
- Weight of Evidence/Information Value (WoE/IV) experience
- Wireless or telecom network KPI knowledge
- Snowflake experience
- Experience building composite scores, indices, or scorecards