Data Scientist

About Faire

Faire is an innovative online wholesale marketplace dedicated to empowering independent retailers worldwide. Founded on the core belief that local businesses are vital to thriving communities and the global economy, Faire leverages advanced technology, data analytics, and machine learning to connect entrepreneurs with the best products from around the world. Our platform enables small retailers to access a curated selection of high-quality merchandise, helping them compete with larger retail giants like Walmart and Amazon. By supporting the growth of these small businesses, Faire fosters economic development at both local and global levels, driving positive community impact. Our mission is to democratize wholesale commerce, making it accessible, efficient, and scalable for entrepreneurs everywhere.

About The Role

We are seeking a highly skilled and experienced Listing Quality Lead to join our Data Science team at Faire. In this pivotal role, you will focus on enhancing the quality of product listings through advanced machine learning and AI techniques. Your responsibilities will include developing algorithms to automatically detect and resolve issues related to product images and descriptions, extracting structured product attributes, and identifying duplicate listings and product variants. You will utilize deep learning models, multi-modal large language models (LLMs), and human-in-the-loop training methodologies to create robust, high-performance solutions. As the leader of the Listing Quality initiatives, you will mentor junior Data Scientists, drive strategic planning, and work closely with cross-functional teams to optimize the end-to-end experience for brands and retailers. Your expertise will directly influence the accuracy, consistency, and overall quality of our marketplace, ensuring a seamless experience for our users and supporting Faire's mission to empower small businesses globally.

Qualifications

• 5+ years of industry experience applying machine learning to solve real-world problems
• Proven experience with relevant business challenges in e-commerce or marketplace platforms
• Expertise in deep learning, LLM fine tuning, and human-in-the-loop machine learning techniques
• Strong programming skills in relevant languages such as Python, TensorFlow, or PyTorch
• Willingness and enthusiasm for learning new tools, techniques, and methodologies
• Ability to mentor and lead senior data scientists, develop team strategies, and independently drive model development
• Excellent communication skills with the ability to collaborate effectively in cross-functional teams
• Preferred: Master's or PhD in Computer Science, Statistics, or related STEM fields
• Preferred: Experience with listing quality management in e-commerce environments
• Preferred: Experience with supervised fine tuning of multi-modal LLMs

Responsibilities

• Define and execute the data science vision, strategy, and roadmap for Listing Quality initiatives
• Develop and deploy machine learning models to automatically detect and fix listing issues, including image and text quality problems
• Leverage deep learning, multi-modal LLMs, and human-in-the-loop approaches to improve detection accuracy and model robustness
• Mentor and guide junior Data Scientists, fostering a collaborative and innovative team environment
• Lead the cross-functional Listing Quality pod, aligning efforts across product, engineering, and operations teams
• Analyze and interpret data to inform product improvements and operational policies
• Continuously evaluate model performance, iterate on solutions, and implement enhancements to optimize listing quality
• Collaborate with stakeholders to understand business needs and translate them into technical solutions

Benefits

• Competitive salary range of $196,000 to $269,500 per year (Canada)
• Eligibility for equity and comprehensive benefits package
• Hybrid work model with in-office presence two days a week, with flexibility for additional remote work up to four weeks per year
• Opportunities for professional growth and development within a rapidly expanding company
• Engagement in a mission-driven environment focused on empowering small businesses and communities
• Inclusive and diverse workplace committed to equal opportunity and accessibility

Equal Opportunity

Faire is an equal employment opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and applicants. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression.