Senior Applied Ai/ml Scientist - Fulfillment

Faire

San Francisco, CA, United States
Base: $196,000 to $269,500 py; bonus/equity: eligi...
On-site
3+ years productionizing machine learning models
Strong python programming skills
Experience with sklearn xgboost or deep learning
The role involves building ML models to forecast demand for SKUs and optimize shipping logistics to reduce costs while improving reliability

Job Summary

  • The role involves building ML models to forecast demand for SKUs and optimize shipping logistics to reduce costs while improving reliability.
  • Candidates will collaborate with experienced scientists from companies like Uber, Airbnb, and Facebook to unlock value from the marketplace data.
  • Employees enjoy a hybrid work model requiring office attendance three days per week with flexibility for remote work up to four weeks annually.

Matching Summary

The role involves building ML models to forecast demand for SKUs and optimize shipping logistics to reduce costs while improving reliability.

Salary

Base: $196,000 to $269,500 per year; Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included

Skills & Requirements

Must-have

  • 3+ years productionizing machine learning models
  • Strong Python programming skills
  • Experience with Sklearn XGBoost or Deep Learning

Nice-to-have

  • Knowledge of statistical experimentation techniques
  • Familiarity with causal inference methods
  • SQL database querying experience

Key Requirements

  • MS or PhD in statistics, economics, math, CS, or operations research
  • Advanced degree in a relevant discipline
  • Productionization experience with ML algorithms

Work Rights

Not specified

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