Senior Full-Stack Data Scientist - Growth Algorithms

Socket.dev; Northern (KY); Hybrid; USD 180,000 - 205,000; Full time

Job summary

Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. The Client Experience Algorithms organization builds tools that power personal style, using models and human judgment.

On the Growth Algorithms team, you’ll apply multidisciplinary tools to solve problems in a data-rich environment, directly influencing client acquisition, retention, and reactivation programs.

Qualifications

• Bachelor’s degree in a quantitative field; Master’s degree or PhD preferred.
• 5+ years designing and deploying ML algorithms, ideally in retail personalization.
• Ability to architect solutions and write production-grade Python applications.
• Experience with large-scale distributed datasets and bias handling.
• Applied knowledge of AI-assisted coding and agentic product solutions.
• Experience with online A/B testing and performance metrics.
• Strong communication and ownership mindset.
• Team player with growth mindset.
• Willingness to take on new challenges and learn from failure.

Responsibilities

• Work in a team that embraces both LLMs and traditional ML.
• Design experiments and communicate results to stakeholders and leadership.
• Help optimize client journeys through Next Best Action modeling and CRM.
• Leverage data about clients, merchandise, and interactions.
• Collaborate with product, design, and engineering to roadmap new features.

Skills

ML design & deployment

Python

A/B testing

Data analysis

Communication skills

Education

Bachelor’s degree in quantitative field

Master’s or PhD preferred

Tools

Python

Experimentation frameworks

Job description

About Stitch Fix, Inc.

Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.

About the Role

Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. The Client Experience Algorithms organization builds the tools that power personal style, combining best-in-class models with expert human judgment. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work, from research to model deployment. On our Growth Algorithms team, you’ll use multidisciplinary tools to solve complex problems in a data-rich environment, directly influencing Stitch Fix’s client acquisition, retention, and reactivation programs.

Responsibilities

• You will work in a team that embraces both LLMs and traditional ML.
• You will design experiments to test new features, including communication of results and recommendations to stakeholders and leadership.
• You will help optimize our client journeys through Next Best Action modeling as well as marketing optimization via CRM and paid media.
• You will leverage a decade's worth of rich and unique data about our clients, our merchandise, and their interactions.
• You will work with our product, design, and engineering partners to create roadmaps for developing new client products, user features, and infrastructure.

About You

This is what you’ll need to succeed in this role from day 1.

Requirements

• Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s Degree or PhD preferred.
• 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.

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail.
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do.
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

Compensation and Benefits

This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.

Salary Range

• $180,000 — $205,000 USD

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