Stitch Fix Data Scientist - Onboarding Algorithms in San Francisco, California

Data Scientist - Onboarding Algorithmsat Stitch Fix(View all jobs)

San Francisco, CA

About the Team

At Stitch Fix, our data science team combines artificial intelligence together with expert-human judgment to generate innovative recommendations and insights that help our clients look and feel their best. The Onboarding Algorithms team focuses on bringing our clothing recommendations to life for new clients. We have a wide latitude to implement state of the art algorithms, contribute to product development, and define the future of online experiences at Stitch Fix.

About the Role

This role will provide the algorithmic structures we need to succeed in our speak to reach every potential Stitch Fix customer with relevant content. This means developing models that can describe the tastes, interests and intentions of our customers that can be used to ask smarter questions and provide better recommendations. We partner with other data scientists, engineers, the product team, and the creative team to make our vision a reality.

The ideal candidate for this role has experience building algorithms that target clients or make content recommendations in a consumer-facing context.

You're excited about this opportunity because you will…

  • Develop and deploy an adaptive, personalized experience for new clients to Stitch Fix.

  • Work on cutting edge problems in recommendation systems and tastemaking.

  • Influence: build the case within the business to pursue identified areas of opportunity.

  • Collaborate with creative, engineering, product, and other algorithms partners to enhance our algorithmic approach to content.

We’re excited about you because…

  • You have a strong theoretical background in ML and statistics, PhD or equivalent depth of knowledge.

  • You have at least 3 years of experience building ML models, ideally for content recommendation.

  • You can ask the right questions to turn ambiguous business problems into opportunities for algorithmic approaches, especially when it comes to ideas for product development.

  • You are equipped with a powerful technical toolkit, able to prototype production-scale models with Python, Spark, and Docker, and work with engineering to deploy them.

  • You are able to influence and rally the organization around level-setting opportunities.

  • You are able to identify high-level patterns to build capabilities that benefit the whole algorithms team.

Why you'll love working at Stitch Fix…

  • We are a group of bright, kind and challenge-motivated people. You can be your authentic self here, and are empowered to encourage others to do the same!

  • We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation.

  • We are a technology and data-driven business.

  • We are committed to our clients and connected through our vision of “Transforming the way people find what they love.”

  • We love solving problems, thinking creatively and trying new things.

  • We believe in autonomy & taking initiative.

  • We are challenged, developed and have meaningful impact.

  • We take what we do seriously. We don’t take ourselves seriously.

  • We have a smart, experienced leadership team that wants to do it right & is open to new ideas.

  • We offer competitive compensation packages and comprehensive health benefits.

  • You will be proud to say that you work for Stitch Fix and will know that the work you do brings joy to our clients every day.

About Stitch Fix

Stitch Fix is redefining retail shopping using a unique blend of art and science to deliver a deeply personalized service to our customers. This novel juxtaposition—at once analytic and artistic, technical and adventurous—attracts an extraordinary collection of talented people who are both thinkers and doers. Our diverse workforce has catalyzed enormous company growth over the past three years in terms of customer satisfaction and service efficacy. We’d love for you to help us carry on the trend.