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Ref #HL-DS-3101Senior Level · 7 Years Experience
Ready to Interview

ML Data Scientist (Experimentation & Forecasting)

Specialization: Data Science · Industries: B2B SaaS, E-Commerce, Marketplace Platforms · Vetting Rating: Interview-ready · applied science review

Contract EngagementContractor / Deployable
AvailabilityWithin 2 weeks
Work ModelRemote worldwide
Benchmark Rate~$95 / hr
Verified Technical Stack:
PythonExperimentationForecastingscikit-learnSQLCausal MethodsXGBoostPropensity ModellingMetric DesignWarehouse ML

Professional Summary

Applied scientist who ships decision-support models and rigorous experiment readouts — documents when causal claims are not justified and when forecasts need human override.

Verified Impact & Project Highlights

  • Standardised experiment analysis templates that product teams reused across squads
  • Built forecasting pipelines with explicit backtest windows and drift monitoring hooks
  • Partners with data engineering on point-in-time feature tables for training snapshots

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