Director, Data Science & Algorithms - CX Product Experiences
Stitch Fix · Remote, USA
Posted 23 days ago
or apply directly on Stitch Fix's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 23 days Stitch Fix's roles stay open a median of 20 days
- Reposted
- No
- Salary listed
- No 0% of Stitch Fix's roles list one
- Ghost-job risk at Stitch Fix
- high 7 stale, 1 reposted of 17 open
- Hiring momentum
- 29 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Stitch Fix's own greenhouse board since 2026-08-03. Full hiring picture for Stitch Fix.
About this role
As the Director of Data Science & Algorithms at Stitch Fix, you will lead the strategy and execution of machine learning and AI initiatives that enhance personalized shopping experiences. Your role involves overseeing the Product Algorithms portfolio, driving innovation in data science applications, and fostering cross-functional collaboration to achieve measurable business outcomes. You will also build and manage a high-performing team while leveraging AI tools to improve decision-making and operational efficiency.
- benefits
- 2/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Stitch Fix as an employer.
What you need
- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.
- 10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.
- Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.
- Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.
- Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.
- Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.
Nice to have
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.
- Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.
- Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.
- Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.
- Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.
What you get
- Competitive salary
- Annual bonus eligibility
- Restricted stock units grants based on performance
- Medical, dental, vision, and other benefits
Worth weighing
- Salary range provided is $225,000 to $282,000 USD, which may vary based on experience and location.
- The role requires strong leadership and technical skills in a rapidly evolving field, which may involve significant responsibility and pressure.
- The position is remote, which may impact team dynamics and collaboration.
Summarised from Stitch Fix's posting. Read the full original.
Listed by Stitch Fix on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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