Director, Data Science – Algorithms, CX Product Experiences

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $225k - $282k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Stitch Fix

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

📣 Marketing

📦 Logistics

💼 Consulting

💰 $36.9M Venture Round on 2017-11

Marketing • Logistics • Consulting

Stitch Fix is a personal styling service that offers a unique and personalized approach to fashion for women, men, and kids. Clients start by taking a style quiz, which helps Stitch Fix understand their preferences, sizes, and budget. Based on this information, a personal stylist selects five personalized clothing pieces that are shipped directly to the client's door. Customers can choose to keep and purchase any items they like, with the $20 styling fee applicable to kept items. Stitch Fix carries a wide range of sizes and offers free shipping and returns. The service is flexible, with no subscription required, allowing customers to order style boxes on demand or at regular intervals. Stitch Fix also offers a 'Freestyle' shopping option where clients can browse curated suggestions based on their preferences. The company covers a wide variety of styles from numerous brands, ensuring there are options to suit various fashion tastes and needs.

📋 Description

• Lead the Product Algorithms portfolio across Growth, Styling, and Fix & Freestyle • Set strategy and drive measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences • Define the vision and roadmap for data science, machine learning, AI, experimentation, and product analytics • Identify, evaluate, and scale modern AI, machine learning, personalization, and experimentation techniques • Improve planning, prioritization, experimentation practices, product analytics, operational readiness, incident management, and cross-functional decision making • Build and develop a high-performing organization of managers and senior individual contributors • Foster technical excellence, product leadership, accountability, and collaborative partnerships • Represent Product Algorithms with executive stakeholders • Use AI-powered tools including ChatGPT and GitHub Copilot to improve decision making, productivity, communication, and operational efficiency • Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmaps and measure business impact • Evaluate and adopt new AI capabilities, technologies, and ways of working

🎯 Requirements

• 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 • 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 • Experience using AI tools such as ChatGPT, GitHub Copilot, or similar technologies • Ability to sit for extended periods, use a computer and standard office equipment, and communicate effectively in written and verbal formats

🏖️ 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