Senior Data Scientist - Merch Algorithms & Inventory Optimization

Stitch Fix

About The Position

This role will combine technical expertise in data science and optimization techniques with strong decision-making capabilities to drive data-informed strategic decisions across the organization. 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. As a Senior Full Stack Data Scientist at Stitch Fix, you will design, implement, and validate improvements to our repurchased inventory buying strategy to ensure optimal sellthrough given business constraints and client demand. Optimizing our inventory has considerable opportunity for impact at Stitch Fix, by combining a deep focus on ensuring a client-right approach to inventory management with smart, active processes to increase business efficiency and unit margin.

Requirements

You are proficient in building and deployment apps using the Python data ecosystem
You have 1+ years experience with optimization techniques such as linear programming, dynamic programming and others.
You’re fluent in SQL and have experience handling large-scale datasets
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 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, able to balance time against multiple systems and work streams with defined objectives

Nice To Haves

A bonus if you have experience with Gurobi!

Responsibilities

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.
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.