Oh Snap!
This job is no longer active - but you can still view the details below.

Senior Data Scientist

| Greater LA Area
Apply now

FabFitFun is dominating the women's lifestyle marketplace through our curated subscription boxes, FFF branded products including makeup and accessories lines, as well as a video streaming platform featuring live and licensed content. With over 1M members and growing, we are leveraging large amounts of data and are now seeking Senior Data Scientists to help build data into every part of the business.

The data science team develops statistical and machine-learning models used to recommend products, personalize our member experience in multiple channels, guide merchandise decisions, cluster and segment our members, and drive many other key decisions across the company. In this role, you will use machine learning and statistical models to analyze and solve problems, as well as clean and explore data, test and deploy data services, and tune and optimize existing algorithms. Our ideal candidate will be up to date with modern data science techniques and have experience with subscription business models.

What you’ll do:

  • Develop statistical models of customer, product, and operations data that will be used for decision-making throughout the company. Current applications include product recommendation, customer segmentation, retention and lifetime value prediction, and more
  • Build clear visualizations to convey complex ideas and analyses to executives and business unit leaders
  • Perform deep and continuous exploration of high-volume data
  • Combine and analyze data from multiple data sources (transactions, surveys, web and mobile events) to build holistic models of our members and products
  • Own analytics projects from start to delivery (business requirements, data exploration, model development, deploying models, and maintaining models and data services)
  • Help lead and manage best practices on a fast-growing and high-profile team

What you’ll bring:

  • Master’s degree (Ph.D. preferred) in statistics, computer science, mathematics, data science, or other quantitative science (psychology, economics, physics, etc.)
  • 3+ years of relevant work experience in statistics, data science, or machine learning (or Ph.D. in a quantitative field)
  • Proven ability to tackle business or research problems with data science solutions
  • Knowledge of machine learning algorithms (clustering, regression, classification, optimization) and statistical inference
  • Experience with:
    • Coding in both notebooks (Jupyter, R Notebook) and modules or packages
    • Data manipulation in Python (pandas, numpy, etc.), R (tidyverse, etc.), or both
    • Statistical modeling in Python (scikit-learn, xgboost, keras, etc.), R (glm, rstanarm, glmnet etc.), or both
    • Building interactive visualizations with visualization platforms (Looker, Tableau, Shiny, ggplot, seaborn, d3, etc..)
    • SQL databases (MySQL, PostgreSQL, etc.) and cloud storage (especially S3)
    • Consumer and e-commerce data models
  • Bonus points if you have any experience with either recommender systems, natural language processing (NLP), constrained optimization, or hierarchical Bayesian modeling

What you’ll get:

  • Opportunity to work on rich data sets with direct business impact
  • A modern data science platform with full ownership over deploying and optimizing models
  • Full support from dedicated data engineering and business intelligence teams
  • Ability to take the lead on major projects in areas like product recommendation, customer segmentation, lifetime value prediction
  • Amazing benefits including medical, dental, vision, FSA, and 401k
  • Flexible PTO
  • Catered meals, kitchen stocked with great snacks and drinks
  • Free FabFitFun subscription and and quarterly credit in the Add-Ons store
Read Full Job Description
Apply now
loading ...

Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • JavaLanguages
    • JavascriptLanguages
    • SqlLanguages
    • ReactLibraries
    • ReduxLibraries
    • MySQLDatabases
    • PostgreSQLDatabases
    • Google AnalyticsAnalytics
    • IllustratorDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • AsanaManagement
    • WrikeManagement
    • SalesforceCRM
    • IterableEmail


In the heart of West Hollywood! Close to many staples of the LA area including The Beverly Center, The Grove and popular restaurants and bars.
Out of the Box: How Subscription Box Service FabFitFun Experiments to Innovate

An Insider's view of FabFitFun, Inc.

How would you describe the company’s work-life balance?

After being at this company for a few years, balancing work and life has never been a concern for me. Between the flexibility to work from home when necessary, to traveling the world, this company always encourages a balance. I really appreciate that I never have to put my life on pause -- it’s a freedom that makes this company so wonderful.


Customer Acquisition Specialist

How do you collaborate with other teams in the company?

As a brand copywriter, part of my job is to spearhead our seasonal campaigns and make sure our creative is cohesive across all channels. This means I have recurring touch bases with each department, such as Marketing, Merchandising, PR, Talent Partnerships, etc.



How do you make yourself accessible to the rest of the team?

I believe in casually connecting with my team on a regular basis. During lunch I will often go to one of our team rooms and eat with them, and aim to not talk about work. My hope is that this connection will encourage them to ask me when they need something. I also try to encourage direct feedback by being grateful for ANY feedback I receive.


SVP, People

What are FabFitFun, Inc. Perks + Benefits

Volunteer in local community
Partners with Nonprofits
Each of our seasonal boxes partners with a charity/nonprofit organization.
Friends outside of work
Eat lunch together
Daily stand up
Open door policy
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Highly diverse management team
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Retirement & Stock Options Benefits
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Acme Co. provides employees with a flexible work schedule that includes Flexible start and end times.
Return-to-work program post parental leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Stocked kitchen with amazing snacks that suit both looking for something healthy or a sweet treat in the afternoon. Kombucha & cold brew also on tap!
Some Meals Provided
FabFitFun offers 3 catered a meals a week at our HQ in West Hollywood. Breakfast provided on Monday, while Lunch is provided on Tuesday and Friday.
Happy Hours
Happy hours are hosted Once per month.
Paid parking available for all of our employees with a paid parking incentive for those who commute to the office and don't require a parking spot or vouchers.
Pet Friendly
Dog friendly office!
Relocation Assistance
Fitness Subsidies
You will have access to our online digital streaming platform (FabFitFun TV) that hosts a library of online fitness classes from top studies. Also hosted fitness classes every quarter in nearby gyms.
Professional Development Benefits
Job Training & Conferences
Lunch and learns
Promote from within
Online course subscriptions available

Additional Perks + Benefits

Generous compensation package and extensive benefits. 12 weeks’ paid parental leave. Free FabFitFun subscription and tons of beauty freebies! Daily impact on personalizing the FabFitFun member experience.

More Jobs at FabFitFun, Inc.20 open jobs
All Jobs
Data + Analytics
Dev + Engineer
Project Mgmt
Project Mgmt
Los Angeles
Project Mgmt
Los Angeles
Los Angeles
Data + Analytics
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Los Angeles
Data + Analytics
Los Angeles
Data + Analytics
Los Angeles
Project Mgmt
Los Angeles
Los Angeles
Project Mgmt
Los Angeles
Data + Analytics
Los Angeles
Los Angeles
Los Angeles
Los Angeles