Stitch Fix is looking for a Data Scientist to help optimize inventory management and improve the way their inventory surfaces to clients, ultimately enhancing client satisfaction and business efficiency.
Requirements
- Proficiency in Python
- Experience with machine learning frameworks such as scikit-learn, statsmodels and other explainable predictive algorithms
- Comfortable with SQL and experience working with large datasets to gather insights
- Understanding of statistical principles and how to apply them to data and experimental results, and can communicate derived insights to stakeholders to drive action
- Familiarity with data visualization tools such as matplotlib, seaborn, looker etc
Responsibilities
- Design, implement, and validate improvements to the way our inventory surfaces to clients, improving how we match our finite assortment of available inventory to our client demand.
- Use decision-modeling frameworks, such as simulations, optimization models, and A/B testing, to assess potential outcomes and guide decision-making.
- Build tools and dashboards to support data-driven decision-making and empower non-technical stakeholders to leverage data insights in day-to-day decisions.
- Analyze data, build reusable tools & processes and integrating with live engineering services.
- 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.
- 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.
Other
- Drive for resiliency.
- Curious about what’s happening outside your immediate sphere and how you can leverage insights elsewhere inside the domains you own.
- Happiest as a team player, able to balance time against multiple systems and work streams with defined objectives.
- Ownership of the health and efficiency of our fulfillment network, ensuring inventory availability for all clients so they can find the fits and styles they love.
- Partnerships in merchandise planning, finance, and operations.
