Everlane
Retail & ConsumerDirect Greenhouse career site

Director of Data Science & Analytics

Pay
$170,000 – $200,000 per year
Location
Los Angeles, CA · Hybrid
Job type
Full-time
Level
Director
Experience
7+ years
Education
Bachelor's degree
Listed
30 days ago

Skills & highlights for this role

  • business analysis
  • statistical modeling
  • experimental design

Also useful

  • R
  • Python
  • SQL

About the role

Clean luxury. Better for you. At Everlane, we believe luxury should be as effortless as it is conscious. We partner with ethical factories, work with premium, sustainably sourced materials, and strive to leave the industry cleaner than we found it. There's still much to do, and we're excited to grow a team of motivated humans ready for the challenge. The journey toward better continues.

Everlane is seeking a Director of Data Science & Analytics to join our team, where you'll help drive growth of the Everlane business by leading a team that collaborates with business partners to provide meaningful insights and analysis for critical business decisions, develops reporting, analytics and predictive models, and builds the next generation of Everlane's data infrastructure.

The subject areas that you will impact span the entire company, from analyzing performance marketing data for optimization and helping our digital product team evaluate new opportunities of improvement on our website, to building a model around the purchase preferences of our customers. This position reports into the VP of Digital.

Our team is tasked with building actionable insights from our data, building predictive data products, and creating self-service analytical tools for teams throughout the company. We use a full-stack set of methodologies to achieve this, taking a data science problem from the initial open ended business question, to the eventual productionisation and implementation of a model.

Your day-to-day

  • Effectively communicate and drive collaboration with key stakeholders across the business to provide insights, analysis and recommendations
  • Own the Data architecture and roadmap, working independently to understand, prioritize, and plan the team's work
  • Research and promote opportunities to take on new technologies, frameworks, and approaches in customer data analysis, AB testing, data and machine learning
  • Apply causal research and explanatory modeling to better understand customer behavior, marketing performance, site behavior, etc.
  • Deploy predictive data models that our customers will interact with, including product recommendations, size predictions, and predicted return rates
  • Design and analyze rigorous experiments aimed at understanding customer behavior
  • Scale the Everlane data platform with smarter and more sophisticated data on ongoing basis
  • Oversee a skilled team of data analysts, data scientists, and data engineers, coaching direct reports and developing their skills

We'd love to hear from you if you have

  • BA/BS degree in business analysis, quantitative or computing focused degree
  • 7+ years of experience in retail/e-commerce or a B2C technology company
  • 5+ years of data technology experience (data collection, analysis, machine learning, statistical modeling)
  • 3+ years of people management experience
  • Ability to understand and interpret the business and provide a firm point of view from both a stakeholder and data perspective
  • Expertise in R, Python, or another data science suitable language
  • Expertise in SQL
  • Strong fundamentals in statistics and probability, including formal statistical modeling and experimental design

The Fine Print

LA: This is a full-time role based in our Los Angeles Creative Studio located in the Arts District. We are on a hybrid schedule, with at least three days in the office per week, Tuesdays through Thursdays.

Pay and benefits

California Residents: At Everlane, we carefully consider a wide range of compensation factors, including your background and experience. These considerations can cause your compensation to vary. The annual compensation range for this role is $170,000 - $200,,000. This range is based on the Los Angeles geographic area and the actual pay may vary depending on your skills, qualifications, experience, and geographic location.

Everlane is deeply committed to respecting and protecting your data privacy. For information on our privacy practices, please review our Privacy Policy.

Read the original posting

From Everlane's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

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Common questions

What is the salary for the Director of Data Science & Analytics role at Everlane?

The Director of Data Science & Analytics posting at Everlane states compensation of $170,000 – $200,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Everlane's official career site.

Where is the Director of Data Science & Analytics job at Everlane located?

This Director of Data Science & Analytics position at Everlane is located in Los Angeles, CA (Hybrid). Always check Everlane's application page for specific state eligibility or relocation policies.

What qualifications are required for Director of Data Science & Analytics at Everlane?

For the Director of Data Science & Analytics role, Everlane highlights 7+ years of relevant experience; a bachelor's degree; experience with business analysis, statistical modeling, experimental design. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Director of Data Science & Analytics position at Everlane?

This listing links directly to Everlane's Greenhouse application page. You can apply directly on Everlane's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.