Senior Data Scientist | 100% Remote (U.S. Based Only)

Remote • $140k - $180k


Role Location

  • Remote


$140k - $180k


101 - 250 people


548 Market Street
San Francisco, CA, 94104, US

Tech Stack

  • Docker
  • AWS
  • Python
  • React
  • MySQL
  • Elastic Search
  • Memcached
  • JavaScript
  • React Native
  • Django
  • Terraform
  • Redis
  • DynamoDB
  • Redshift
  • AWS Lambda
  • S3
  • Jira
  • Go
  • CircleCI
  • Webpack
  • Cordova
  • Node.js
  • Angular.js
  • RabbitMQ
  • Celery
  • PostgreSQL

Role Description

Senior Data Scientist | 100% Remote (U.S. Based Only)

About the role- We are a collaborative team focused on developing innovative data driven insights and experiences for our users. This is an extremely exciting time for Data Science at StyleSeat as we are refocusing our efforts on agile model development and enhanced search experiences. Our work will have an impact and add value to multiple domains, from engineering, marketing, and product, to the executive team.

What you’ll do- We are looking for a driven Senior Data Scientist with software engineering experience to help take the StyleSeat experience to the next level of intelligence and joy. This role will work on core machine learning algorithms and systems that are part of our ability to understand the behavior and goals of our professional and client communities and build outstanding products - in short, these models help our clients feel their best and enable our pros to grow their business. It will involve a wide variety of skills and innovation and is an unusual opportunity that sits at the cutting-edge of various engineering disciplines, and the work will have a huge impact on hundreds of millions of users across the US.

Who you are Successful candidates can come from a variety of backgrounds, yet here are some of the critical experiences we’re looking for

  • 2+ years of experience working in a production environment
  • Experience with the Python data science stack (numpy, scipy, matplotlib, pandas, scikit-learn, TensorFlow, etc.)
  • Experience in SQL
  • Experience designing, training, tuning, deploying and maintaining custom machine learning models
  • Comfortable owning and guiding machine learning projects from conception through research, development and production deployment


  • Experience working cross-functionally with other business units such as engineering, product, and marketing
  • Ability to explain and present machine learning concepts to both a technical and non-technical Audience
  • Experience identifying opportunities in Product that would benefit from more intelligent systems
  • Experience transferring machine learning solutions to engineers on product teams
  • Experience with AWS services (SageMaker, S3, etc.)
  • Advance coursework/research in machine learning and/or search

*Who we are *- Committed to inclusivity, StyleSeat offers a thoughtfully designed platform for consumers to discover and connect with high-quality beauty professionals who are well-versed in styles and treatments that appeal to diverse needs and wants, and can turn their visions into reality. Whether you’re booking braids, balayage, or brows, StyleSeat makes it easy to find someone who is a master of their craft. We have powered over 155 million personal care appointments and $10.6B in revenue for our pros and are on the path to much more.

About StyleSeat

At StyleSeat, our mission is to help people look and feel their best. We are on the path to achieving this mission by being the go-to marketplace for consumers to discover, book, and pay for beauty and grooming services (hair stylists, colorists, nail artists, estheticians, barbers, etc). We are also the premier solution for all independent professionals in the industry to run and grow their business. We have powered over 155 million appointments booked and over $10.6B in revenue for small businesses and are on the path to much more.

Company Culture

We are a collaborative and ambitious team that is passionate about empowering small business owners. We are scrappy and driven, but we also remember that this company is built by, and ultimately for, people, so we do a great job at creating an environment in which we all want to work. Come check us out and see for yourself.

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.