Senior Applied AI/ML Scientist - Retailer

About Faire

Faire is a technology wholesale platform that uses technology, data, and machine learning to connect independent retailers with products from around the world and help local businesses thrive.

About the Role

The Retailer Data Science team creates and maintains algorithms and models that power Faire’s marketplace. You will address challenges including logistics and freight cost optimization, credit limits, retailer acquisition, personalized landing pages, and retailer lifetime value prediction. You will collaborate with data scientists, engineers, and product managers to unlock value from Faire’s growing two-sided marketplace data.

Responsibilities

• Shipping cost optimization: Build machine learning models that accurately estimate shipping costs and engineer features to improve performance. Models may incorporate live carrier information and should be performant and explainable.
• Underwriting: Evaluate retailer creditworthiness and improve Faire’s Net terms portfolio. Use predictive modeling to dynamically assign credit limits that minimize default risk and maximize growth.
• Retailer growth and lifecycle: Build models to automatically generate landing pages and content targeting search engine demand. Use natural language processing to understand keyword intent and match it with relevant internal content.
• Generate retailer intelligence to power personalization and predict retailer lifetime value to optimize acquisition spending.

Qualifications

• An advanced degree (MS or PhD) in a relevant discipline, such as statistics, economics, econometrics, mathematics, computer science, or operations research.
• Strong machine learning skills and at least 3 years of experience productionizing machine learning models using approaches such as Scikit-learn, XGBoost, or deep learning.
• Strong programming skills; listed languages include Python, Java, Kotlin, and C++.
• Knowledge of statistical techniques, including experimentation and causal inference.
• SQL or other database querying experience preferred.
• Excitement and willingness to learn new tools and techniques.

Compensation and Benefits

• California annual base salary range: $211,000–$290,500.
• Eligible for equity and comprehensive benefits.
• Actual base pay depends on transferable skills, work experience, market demands, and primary work location. The range may change.

Work Arrangement

Hybrid employees attend the office 3 days per week: Tuesdays, Thursdays, and a flex day chosen from Monday, Wednesday, or Friday. Hybrid in-office roles may work remotely for up to 4 weeks per year.

Application Information

Reasonable accommodations are available throughout recruitment. Applicants may request accommodations through the Accommodation Request Form.

Details about applicant data collection and privacy choices are available in Faire’s Privacy Notice.