Job Description

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role Faire leverages the power of machine learning (ML) and data insights to revolutionize the wholesale industry, enabling local retailers to compete against giants like Amazon and big box stores. Our highly skilled team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification and recommender systems, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate goal is to empower local retail businesses with the tools they need to succeed. As a Data Scientist on the Retailer or Brand team, you'll tackle a diverse set of 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. 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. What you’ll do Shipping cost optimization: Build ML models that provide accurate shipping cost estimates. Engineer new features to improve model performance. Underwriting: Improve Faire’s Net Terms portfolio by evaluating the creditworthiness of retailers on the platform. Use predictive modeling to dynamically assign credit limits that minimize default risk while maximizing growth. Retailer Growth: Build models to automatically generate landing pages and content to target search engine demand. Predict retailer lifetime values to optimize retailer acquisition spend. Brand Growth: Prioritize brand leads for sales by predicting their lifetime value. 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, and predict product taxonomy. Marketplace Quality: Summarize and tag retailer reviews. Detect and remove products that violate Faire’s policies. Qualifications 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. 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. Salary Range California: the pay range for this role is $177,500 to $244,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. This role will be in-office on a hybrid schedule - Faire employees will be expected to go into the office 2 days per week on Tuesdays and Thursdays. Additionally, in-office roles will have the flexibility to work remotely up to 4 weeks per year. Why you’ll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business. We are curious and resourceful: Inquisitive by default, we explore every possibility and develop creative solutions. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. #J-18808-Ljbffr Faire

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