Data Scientist, Stitchfix
Recommendation Algorithms
$153.7-226k
Eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance
Online personal styling
Job no longer available
Online personal styling
1001+ employees
Job no longer available
$153.7-226k
Eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance
1001+ employees
Company mission
To change the way people find clothes they love by combining technology with the personal touch of seasoned style experts.
Role
Who you are
- 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
What the job involves
- The Recommendation Algos team leverages personalization algorithms to power the Fix experience, which involves a combination of modeling style, diversity, long-term client behavior, and expanding Stitch Fix’s total addressable market
- In doing so, this team builds assortments that delight our clients while at the same time explore a client’s stylistic preferences and drive client engagement
- 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
- 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
Our take
Shopping online for clothes is not always a fun experience. Finding clothes you like is only half the battle. Sizing guides and return policies seem to have been designed to be challenging to understand, and can also vary wildly from company to company.
Stitchfix sets out to change this by making online clothes shopping personalized and hassle-free. Customers take a survey on their personal tastes, and pay a one-off fee for a stylist, to receive a box of 5 personalized items. Then, they simply pay for any items they keep, or return what they don't want free of charge. The stylists fee is deducted from the first purchase and if they keep all 5 items, they receive a discount.
Stitchfix's unique blend of technology, and human touch in styling, allows the company to deliver its personalized experience at scale, with its growing data sets putting them in a great place to predict consumer trends and preferences. Unfortunately, the company has been hit hard by the current economic climate - cutting staff back in June 2022 as well as again in early 2023. Only time will tell if this once exciting brand will be able to bounce back from this bump in the road and find success again in the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
-7% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2014
$30m
SERIES C
Oct 2013
$12m
SERIES B
Total funding: $47.6m
Company benefits
- Leadership, managing people program, career journey & other training opportunities
- Company equity for eligible roles
- Medical, dental and vision benefits
- 401(k) plan
- Unlimited vacation for qualified roles
- Competitive parental leave
- Enjoy 40% off of Fixes plus access to quarterly sample sales
- Collaborative workspaces - Open floor plan with standing desks & living room seating throughout
Company HQ
Financial District, San Francisco, CA
Leadership
Katrina Lake
(CEO)BA in Economics from Stanford. MBA from Harvard Business School. Previously 2 years as an Associate at The Parthenon Group and 2 years as an Associate at Leader Ventures.
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