Data Scientist for Local Retail Growth

24 hours ago

London, Ontario, Canada Faire Full time

Faire is a pioneering e-commerce platform that empowers local retailers to thrive in the digital age. Our mission is to democratize access to global brands and products, creating a level playing field for small businesses to compete with larger entities.

We're seeking an exceptional Data Scientist to join our Retailer or Brand team, where you'll tackle diverse challenges such as optimizing freight costs, calculating optimal credit limits, personalizing landing pages for new retailers, predicting brand and retailer lifetime value, and improving product listings using AI.

As a key member of our data-driven team, you'll collaborate closely with other data scientists, engineers, and product managers to drive projects that unlock value from our unique, rich, and rapidly growing two-sided marketplace data.

You'll have the opportunity to work on exciting projects such as:

  • Shipping cost optimization: Build ML models that provide accurate shipping cost estimates, engineer new features to improve model performance, and leverage live carrier information.
  • Underwriting: Improve Faire's Net Terms portfolio by evaluating the creditworthiness of retailers on the platform, dynamically assigning credit limits that minimize default risk while maximizing growth, and leveraging ML models to improve the retailer Identity Verification (IDV) experience.
  • Retailer Growth: Build models to automatically generate landing pages and content to target search engine demand, use natural language processing to understand search engine keyword intent and match to relevant internal content, and build ML models to generate intelligence about retailers to power personalization.
  • Brand Growth: Prioritize brand leads for sales by predicting their lifetime value, estimate the incremental value of new brands based on Faire's existing selection and brand characteristics, and optimize how new brands are featured and explored.
  • Listing Quality and Catalog Growth: Use AI techniques to detect and correct image issues, generate product titles and descriptions, extract product attributes, and predict product taxonomy, perform entity resolution to match products across multiple data sources, and link product variants.
  • Marketplace Quality: Summarize and tag retailer reviews using LLMs, detect and remove products that violate Faire's policies, such as counterfeits, and use marketplace levers to direct retailers toward brands with higher service quality.

To succeed in this role, you'll need:

  • An advanced degree (MS or PhD) in a relevant discipline such as statistics, economics, econometrics, mathematics, computer science, operations research, etc.
  • Strong machine learning skills and 3+ years of experience productionizing machine learning models (Sklearn, XGBoost, or Deep Learning)
  • Knowledge of statistical techniques such as experimentation and causal inference
  • SQL or other database querying experience preferred
  • An excitement and willingness to learn new tools and techniques

Faire offers a competitive salary range of $156,000 to $214,500 per year, depending on your location and experience. You'll also be eligible for equity and benefits.

This role will be in-office on a hybrid schedule, requiring you to go into the office 2 days per week on Tuesdays and Thursdays, effective the week of January 13, 2025. You'll also have the flexibility to work remotely up to 4 weeks per year.

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