Data Scientist, Stitchfix
Merch Algorithms, Pricing Optimization
$153.7-226k
+ Equity
Online personal styling
Be an early applicant
Online personal styling
1001+ employees
Be an early applicant
$153.7-226k
+ Equity
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
- The ideal candidate will have a passion for solving complex business problems, utilizing data to derive insights, and providing actionable recommendations that guide key business decisions
- You have proficiency in Python
- You have experience leading pricing experiments and supporting cross-functional partners through the end-to-end decisioning process
- You have an understanding of statistical principles and how to apply them to data and experimental results, and can communicate derived insights to stakeholders to drive action
- You have experience with optimization techniques such as linear programming, dynamic programming and others
- You’re comfortable with SQL and experience working with large datasets to gather insights
- You drive for resiliency. You take a principled approach to complexity, and can make smart bets on where to invest time and system burden for maximum business impact
- You’re curious about what’s happening outside your immediate sphere and how you can leverage insights elsewhere inside the domains you own
- You have familiarity with data visualization tools such as matplotlib, seaborn, looker etc,
- You’re happiest as a team player and you are able to balance time against multiple systems and work streams with defined objectives
What the job involves
- The Merchandising Algorithms team helps ensure that Stitch Fix purchases the right inventory to delight our clients while also supporting their sell-through via pricing recommendations and other levers in order to efficiently operate the business
- Team members are owners of the health and efficiency of product lifecycle management and the quality of our inventory state, providing analyses and insights to empower our business partners to improve our assortment
- Alongside partnerships in merchandise planning, finance, and product, we build tools to optimally disseminate operational budgets and manage the trade off between the cost of liquidation and incremental sales at reduced price, all while maintaining a high value product experience for our clients
- This role will combine technical expertise in data science and pricing optimization with strong decision-making capabilities to drive data-informed strategic decisions across the organization
- As a Data Scientist at Stitch Fix, you will design, implement, and validate improvements to our pricing strategy to ensure optimal sell-through given business constraints and client demand
- Build key relationships with stakeholders across product, engineering, finance, and operations and collaborate on translating business challenges into analytical questions that can be addressed using data science techniques
- Use decision-modeling frameworks, such as simulations, optimization models, and A/B testing, to assess potential outcomes and guide decision-making, particularly influencing pricing decisions
- Solution at high speed with a small, agile team of coworkers to produce outsized impact on the business
- Have the autonomy to identify unaddressed problems in the business as well as offer new, improved solutions to existing challenges
- Build tools and dashboards to support data-driven decision-making and empower non-technical stakeholders to leverage data insights in day-to-day decisions
- Be exposed to a wide-open field of opportunity for impact with plenty of challenges to make your own
- Work in concert with and learn from a large, diverse, and world-class Algorithms team towards the common goal of transforming the way people find what they love
- Potential projects include:
- Enabling a dynamic price optimization module that recommends pricing actions based on style aging, AUC, turn, client feedback (e.g., return rate, PTE, etc), and margin thresholds
- Recommending a pricing strategy and testing roadmap to ensure Stitch Fix remains competitive and considerate of margin
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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