Product Manager, Data Science

Stitch Fix • Remote, OR

386d • $144,200 - $144,200

About The Position

The Product Manager, Data Science at Stitch Fix will lead the Learning & Playback team, focusing on enhancing client personalization through data science and AI. This strategic role involves defining product vision, collaborating with cross-functional teams, and driving initiatives that improve client experiences and satisfaction.

Requirements

• 5-8 years of product management experience with a focus on data science, machine learning, and recommendation systems.
• Strong strategic thinking skills to synthesize customer needs and industry trends into a compelling vision.
• Ability to champion client empathy and build robust feedback loops in product development.
• Demonstrated success in driving conversion, engagement, or retention through major product initiatives.
• Deep understanding of data analytics and collaboration with Data Science and Engineering teams.
• Skilled in prioritization and stakeholder management.

Nice To Haves

• Experience in eCommerce recommendation systems.
• Experience in early-stage product development.
• Familiarity with Generative AI technologies.

Responsibilities

• Develop and execute a product strategy that enhances understanding of client fashion taste and styling preferences.
• Own the roadmap informed by data-driven insights to prioritize investments in machine learning capabilities.
• Identify and articulate clear, strategic problem statements translating complex business challenges into opportunities.
• Collaborate with Data Scientists, Engineering, and Design to leverage AI capabilities for enhancing recommendation systems.
• Lead with influence, fostering a collaborative environment to solve complex challenges and build exceptional products.
• Drive key initiatives and projects such as StyleFile Expansion and improvements in core recommendation models.
• Continuously learn and gather feedback from clients to iterate on style quizzes and profile updates.
• Improve item recommendations ensuring clients receive personalized, high-quality recommendations.

Benefits

• Competitive salary and equity options.
• Medical, dental, and vision benefits.
• Comprehensive compensation packages.
• Inclusive health and wellness benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Clothing, Clothing Accessories, Shoe, and Jewelry Retailers
• Education Level: No Education Listed