Senior Full-Stack Data Scientist – Growth Algorithms

Posted 1hrs ago

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Job Description

Senior Data Scientist building machine-learning growth algorithms for Stitch Fix’s personalized retail platform. Improving client acquisition, retention, and reactivation through experimentation, recommendations, CRM, and paid media.

Responsibilities:

  • Work in a team that embraces both LLMs and traditional ML
  • Design experiments to test new features, including communication of results and recommendations to stakeholders and leadership
  • Optimize client journeys through Next Best Action modeling
  • Optimize marketing via CRM and paid media
  • Leverage a decade's worth of rich and unique data about clients, merchandise, and interactions
  • Work with product, design, and engineering partners to create roadmaps for new client products, user features, and infrastructure
  • Manage the full lifecycle of work from research to model deployment
  • Directly influence client acquisition, retention, and reactivation programs

Requirements:

  • Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required
  • 5+ years of experience in design and deployment of machine learning algorithms, ideally in retail personalization, such as recommendation systems or search
  • Ability to architect technical solutions of moderate complexity and write production-grade applications, ideally in Python
  • Experience with management and analysis of large-scale, distributed datasets, accounting for biases and lurking variables in analytical interpretation
  • Applied knowledge of AI-assisted coding best practices and development of agentic product solutions
  • Experience with design and interpretation of online A/B testing, experimentation frameworks, and performance metrics
  • Strong communication skills, solution-oriented mindset, and sense of ownership in collaborating with business partners
  • Team player who sees your growth and success intertwined with the growth and success of your peers and cross-functional partners
  • Inspired to take on new challenges and not shy away from failure

Benefits:

  • Competitive salary
  • Equity
  • Annual bonus
  • New hire and ongoing grants of restricted stock units, depending on employee and company performance
  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Other benefits
  • Inclusive health and wellness benefits
  • Comprehensive compensation packages