Note: The job is a remote job and is open to candidates in USA. Stitch Fix is seeking a Senior Manager to lead its Growth Algorithms data science team, which optimizes client acquisition, retention, and reactivation. The role sets the team’s data science strategy and guides experimentation, predictive modeling, and personalized recommendations across the client lifecycle while partnering cross-functionally to prioritize high-impact work.
Responsibilities
- Set and communicate a clear data science vision for Growth Algorithms, turning acquisition, activation, retention, and reactivation goals into a focused portfolio
- Act as a trusted thought partner across Product, Marketing, Engineering, Finance, Design, and Enterprise Analytics; define clear ownership and shared best practices for experimentation, product analytics, AI/ML measurement, and decision support
- Raise the bar for experimental design and interpretation, ensuring plans and outcomes reflect both statistical evidence and business context; turn uncertainty and tradeoffs into clear recommendations
- Guide strategy for Next Best Action, lifecycle personalization, predictive value, CRM and paid media, onboarding funnel, and incentives
- Challenge historical constraints and reframe persistent problems, establishing new technical, analytical, product, or operating approaches when established paths fall short
- Make hard portfolio choices with rigor and care: consolidate overlapping capabilities, retire low-value work, reduce legacy complexity, and focus capacity on the highest-impact opportunities
- Lead a team of full-stack data scientists who own work from opportunity sizing and experiment or model design through production deployment, measurement, monitoring, on-call, and incident response; partner with Engineering on reliable systems and choose the simplest effective approach
- Build an inclusive, high-performing team grounded in ownership, candid feedback, curiosity, kindness, and continuous learning
Skills
- Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics, Physics, Mathematics, Operations Research, or a related field required
- 5+ years of experience applying machine learning, experimentation, and causal inference to business problems
- 2+ years of experience as a technical team lead or direct people manager, with a track record of developing strong talent and delivering meaningful outcomes through others
- Deep practical expertise in experiment design and interpretation, including metric design, statistical power, sources of bias, and decision-making under uncertainty
- Strong cross-functional leadership skills, including experience defining analytics ownership, decision rights, and best practices across Data Science, Product, Engineering, Marketing, and Analytics teams
- A track record of creating a compelling data science strategy, translating it into a focused portfolio, and helping a team understand how its work connects to client and business outcomes
- Demonstrated willingness to challenge assumptions, simplify complex systems or processes, and stop or consolidate lower-value work while leading change with transparency and empathy
- Technical fluency to guide full-stack data science across analysis, experimentation, machine learning, system design, and production-quality Python code—and to raise quality through review, questions, and coaching
- Excellent communication skills, with the ability to explain evidence, uncertainty, tradeoffs, and recommendations to executives, business partners, and technical audiences
- Sound judgment about where traditional machine learning, generative AI, AI-assisted development, and ad hoc analytical approaches create optimal value
- Master's degree or PhD preferred
- Ideally across growth, lifecycle engagement, marketing, personalization, e-commerce, or retail
Benefits
- Equity
- Eligible for an annual bonus
- New hire and ongoing grants of restricted stock units, depending on employee and company performance
- Eligible for medical, dental, vision, and other benefits
- Meaningful career growth
Company Overview
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