Seattle, Washington
•
Today
What theyll do Validate the score against customer outcomes such as churn and care contactsBuild and optimize large-scale data pipelines in DatabricksCatch and fix data quality issues before results reach leadershipDocument methodology, data lineage, and logic changesExplain findings to non-technical and executive audiencesMust-haves: Python/PySpark and advanced SQLDatabricks performance tuning (partitioning, Delta optimization, cluster sizing)Applied statistics, especially predictive modeling
Easy Apply
Contract, Third Party
60 - 65
