Skip to content

Open nowPosted 62 days ago

Director of Data Science & Analytics

Everlane32 open roles

Pay
$200 an hour
Where
Los Angeles, CA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowDirector of Data Science & AnalyticsEverlane · Los Angeles, CA
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Everlane's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Everlane postings stay open a median of 44 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 62 days ago

Everlane median: 44 days open

The posting

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.

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Everlane's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Everlane's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Everlane's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.