πCanada
Data Scientist
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Stitch Fix
π΅ $131k-$194k
πRemote - United States
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Summary
Join Stitch Fix's Logistics Algorithms team as a Data Scientist and leverage your expertise in data science and optimization to drive data-informed strategic decisions. You will build key relationships with stakeholders, utilize decision-modeling frameworks, and collaborate on translating business challenges into analytical questions. This role involves solving complex problems, providing actionable recommendations, and building tools to support data-driven decision-making. You will have the autonomy to identify and solve problems, work with a small, agile team, and contribute to a large, diverse team. The position offers a competitive salary, benefits, and equity, with a focus on innovation and a positive work environment.
Requirements
- Proficiency in Python
- Experience with optimization techniques such as linear programming, dynamic programming and others
- Comfort 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
- 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
- Youβre happiest as a team player, able to balance time against multiple systems and work streams with defined objectives
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
- 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
Preferred Qualifications
- Familiarity with data visualization tools such as matplotlib, seaborn, looker etc
- Curiosity about whatβs happening outside your immediate sphere and how you can leverage insights elsewhere inside the domains you own
Benefits
- Competitive salary
- Benefits
- Equity
- Medical, dental, vision, and other benefits
- New hire and ongoing grants of restricted stock units depending on employee and company performance
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