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Data Scientist - Recommendation Algorithms

Salary

$153.7k - $226k

Min Experience

0 years

Location

remote

JobType

full-time

About the job

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About the role

In this role, you will contribute to building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market. This role has a tremendous and direct impact on the business' bottom line and provides a unique opportunity to work cross-functionally across Strategy, Product, Merchandising, Styling, Marketing, and Engineering stakeholders. You're excited about this opportunity because you will... Support and execute the strategic vision of recommendation approaches for both algorithmically-generated assortments as well as human-in-the-loop augmented recommendations Manage experiments to test new features, including any communication of the experiments' results to stakeholders, and support the eventual launch of the feature Solve problems related to recommendation ranking and assortment generation. Modeling tools could include deep learning, weighted re-ranking, genAI, or any other state of the art technique. Productionize models and systems partnering with our data platform team for real-time applications Leverage unique data about our clients, our merchandise, and their interactions to identify and solve client needs Work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure We're excited about you because... You have a solid understanding in modeling and experimentation You have led end-to-end machine learning and data projects, from inception to production and are proficient in deploying apps in Python You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field. You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners You are a compassionate team player and you see your growth and success entangled with the growth and success of your peers You are innovative and inspired to take on new challenges and you do not shy away from potential failure You think about ethics in AI, the impact of machine learning on society, and want to bring that to bear in our work here

About the company

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.

Skills

machine learning
data science
python