Platform Engineer, Experimentation
Stitch Fix
π΅ $153k-$226k
πRemote - United States
Please let Stitch Fix know you found this job on JobsCollider. Thanks! π
Job highlights
Summary
Join Stitch Fix's Experimentation team as a Platform Engineer and shape the company's central experimentation platform. You will be responsible for the performance of a high-visibility, high-traffic platform, collaborating with data scientists and engineers to improve features. This role requires 5+ years of platform engineering experience, exceptional SQL and Python skills, and Golang/full-stack development experience. Expertise in machine learning techniques and strong communication skills are essential. The position offers a competitive salary, benefits, and equity, including medical, dental, and vision coverage, and stock units.
Requirements
- Have 5+ years of experience in a platform engineering role
- Have exceptional skills in SQL and Python
- Have experience with Golang and full stack development experience
- Have expertise in machine learning techniques and their applications in experimentation
- Have platform engineering experience on an experimentation platform
- Have communication skills that help simplify complex problems for cross-functional business partners
- Have prioritization skills with business impact in mind and ability to be pragmatic where appropriate
- Have intellectual curiosity and are an experienced learner and are skilled in asking questions
- Have a passion for technology and the opportunity to learn and apply new technical concepts to your work
- Have experience in working autonomously and taking ownership of projects
Responsibilities
- Shape the central experimentation platform at Stitch Fix
- Have responsibility for the performance of a highly visible, high traffic platform
- Contribute to a culture of technical collaboration and scalable, resilient systems
- Influence the teamβs investment in impactful directions
- Work with bright and kind colleagues who are passionate about their craft
- Develop and improve features within the experimentation platform
Preferred Qualifications
- Have a degree in a quantitative field such as Statistics, Data Science, Computer Science, or related discipline
- Have experience working in the e-commerce or retail industry
- Have experience partnering with product managers and/or business stakeholders for decision making using experimentation and analytics
- Have familiarity with big data technologies such as Hadoop or Spark
Benefits
- Competitive salary
- Benefits
- Equity
- New hire and ongoing grants of restricted stock units
- Medical, dental, vision, and other benefits
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