Senior Applied AI/ML Scientist - Retailer
$211k - $291k • San Francisco, CA
Posted 2mo ago
Job Location
San Francisco, CA
Tech Stack
Remote Work Policy
On-site
Categories
Applied AI Engineer
About the job
Faire is a technology wholesale platform dedicated to empowering independent retailers globally. We leverage machine learning (ML) and data insights to help local businesses compete effectively. Our Data Science team develops and maintains a variety of algorithms and models that drive our marketplace, focusing on solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. As a Data Scientist on the Retailer team, you will tackle diverse challenges, including optimizing logistics, underwriting creditworthiness, enhancing search engine optimization, personalizing landing pages, and predicting retailer lifetime value. You will collaborate with data scientists, engineers, and product managers to unlock value from our extensive marketplace data.
Responsibilities
- Build ML models for accurate shipping cost estimation, incorporating live carrier information and focusing on performance and explainability.
- Engineer new features to enhance ML model performance for shipping cost optimization.
- Improve Net terms portfolio by evaluating retailer creditworthiness using predictive modeling.
- Dynamically assign credit terms limits to minimize default risk and maximize growth.
- Build models to automatically generate landing pages and content for search engine demand.
- Utilize natural language processing to understand search engine keyword intent and match it to internal content.
- Build ML models to generate retailer intelligence for personalization.
- Predict retailer lifetime values to optimize retailer acquisition spend.
Requirements
- Advanced degree (MS or PhD) in a relevant discipline (statistics, economics, econometrics, mathematics, computer science, operations research, etc.).
- 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning).
- Strong programming skills in Python, Java, Kotlin, or C++.
- Knowledge of statistical techniques such as experimentation and causal inference.
- SQL or other database querying experience preferred.
- Excitement and willingness to learn new tools and techniques.
Benefits
- Equity
- Comprehensive benefits designed to support your life inside and outside of work
- Competitive pay
- Latest enterprise AI tools