Data Scientist • Senior

Who you are

You have 5+ years of experience in data science or machine learning, with a strong background in developing and deploying machine learning models that drive business impact. You are proficient in Python and SQL, and you understand how to manipulate and analyze large datasets to extract meaningful insights. Your experience includes working with various machine learning frameworks and libraries, enabling you to build robust models that improve product quality and user experience.

You are a collaborative team player who enjoys working with cross-functional teams, including product managers and engineers, to translate business needs into technical solutions. You have a knack for problem-solving and can communicate complex technical concepts to non-technical stakeholders effectively. You are passionate about leveraging data to support independent retailers and contribute to their success in a competitive marketplace.

Desirable

Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with data visualization tools like Tableau or Power BI. You have a keen interest in the wholesale industry and understand the challenges faced by small businesses in competing with larger entities. You are always eager to learn and stay updated with the latest trends in data science and machine learning.

What you'll do

As a Senior Data Scientist / Machine Learning Engineer at Faire, you will be responsible for improving the quality of product listings on our platform. You will design and implement machine learning algorithms that enhance the accuracy and relevance of product recommendations for retailers. Your work will directly impact how independent businesses discover and evaluate products, helping them thrive in a competitive landscape.

You will collaborate closely with the Brand Data Science team to analyze data and identify opportunities for model improvements. This includes conducting experiments to validate the effectiveness of your algorithms and iterating based on feedback and performance metrics. You will also be involved in building data pipelines to ensure the quality and accessibility of data for analysis and model training.

In addition to technical responsibilities, you will mentor junior data scientists and contribute to the overall growth of the data science team. You will participate in team meetings to discuss project progress, share insights, and brainstorm new ideas for leveraging data to support our mission of empowering local retailers.

What we offer

At Faire, we believe in the power of community and the importance of supporting independent businesses. You will be part of a mission-driven team that is dedicated to making a positive impact on local economies. We offer a collaborative work environment where your contributions are valued and recognized.

We provide competitive compensation and benefits, including opportunities for professional development and growth within the company. You will have access to the latest tools and technologies to help you succeed in your role. Join us in our journey to revolutionize the wholesale industry and support local retailers around the globe.