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Senior Data Scientist - Retail Focus

FaireToronto, ON
On-site Full-time CA$168K/yr - CA$231K/yr

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Experience Level

Senior

Qualifications

We seek candidates with a strong analytical background and proficiency in machine learning. Ideal applicants should have experience in data modeling, algorithm development, and the ability to translate complex data into actionable insights. A collaborative mindset and excellent communication skills are essential, as you will be working closely with cross-functional teams. Familiarity with optimization techniques and data-driven decision-making processes is crucial.

About the job

About Faire

Faire is a pioneering online wholesale marketplace driven by the conviction that the future lies in local commerce. Independent retailers worldwide are generating more revenue than industry giants like Walmart and Amazon combined, yet they often remain overshadowed by these large corporations. At Faire, we harness the power of technology, data, and machine learning to unite this vibrant community of entrepreneurs. Imagine your favorite local boutique — we empower them to discover and showcase the best products from around the globe. With the right insights and tools, we aim to level the competitive landscape, enabling small businesses everywhere to stand shoulder to shoulder with large retail chains.

By fostering the growth of independent businesses, Faire is making a significant positive economic impact on local communities globally. We seek intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you share our belief in the power of community, we invite you to be a part of ours.

About This Role

At Faire, we utilize advanced machine learning (ML) and data analytics to transform the wholesale sector, empowering local retailers to effectively compete with major players such as Amazon and big box stores. Our talented team of data scientists and machine learning engineers is dedicated to developing innovative algorithmic solutions for notification systems, recommendation engines, advertising attribution, and Lifetime Value (LTV) predictions. Our ultimate mission is to equip local retail businesses with the essential tools for success.

The Data Science team at Faire is tasked with designing and maintaining a diverse array of algorithms and models that drive our marketplace. We are committed to building machine learning models that facilitate our customers' success.

As a Data Scientist on the Retailer team, you will engage in a variety of challenges, including optimizing logistics and freight costs and determining optimal credit limits. You will also play a vital role in expanding Faire's retailer base by enhancing search engine optimization, personalizing landing pages for new retailers, and forecasting retailer lifetime value. You will work closely with fellow data scientists, engineers, and product managers to execute projects that derive value from our unique, extensive, and rapidly evolving two-sided marketplace data.

Our team comprises experienced Data Scientists and Machine Learning Engineers from leading organizations such as Uber, Airbnb, Square, Facebook, and Pinterest. With your contributions, Faire aims to become a premier destination for data scientists and machine learning professionals.

About Faire

Faire is redefining the wholesale marketplace by connecting independent retailers with exceptional products from around the world. Our mission is to empower local businesses through technology and data, enabling them to compete effectively against larger corporations. By supporting the growth of these businesses, we contribute to vibrant local economies and foster a community of innovation and resilience.

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