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Data Scientist

• Job Details:Built gradient‑boosted churn‑prediction model (AUC 0.88) that powers automated email retention flows, lifting MRR by 12% and saving $1.3M/yr. Designed and analyzed 20+ multivariate A/B tests on pricing and UI; recommendations drove a 6% checkout‑conversion increase. Migrated ETL pipelines to Airflow & Spark, cutting daily runtime from 3h to 40min. Mentored two junior analysts; instituted code‑review and experiment‑design playbooks.