FabFitFun

Discover products for a life well lived. Get $225+ in seasonal finds for $49.99. FabFitFun members receive the best, full-size beauty, wellness, fashion, and fitness products delivered as a curated seasonal surprise, 4x per year. Get FREE shipping and save $5 with code WINTER5.

Sign Up For Hired To Get Job Offers

Sign Up

Meet companies like on Hired.

Tech Stack

  • DNS Made Easy
  • Mailchimp Mandrill
  • Gmail
  • Google Apps
  • MailChimp SPF
  • Microsoft Office 365
  • Zendesk
  • Amazon AWS
  • Greenhouse.io
  • Segment.io
  • Taboola Newsroom
  • Amplitude
  • DoubleClick Floodlight
  • SiteScout
  • Apache
  • Bootstrap Framework
  • Google AdWords Conversion
  • Perfect Audience
  • Hotjar
  • WordPress.org
  • SimpleReach
  • Quantcast
  • Yahoo Ad Manager Plus
  • Kenshoo
  • Google Analytics Ecommerce Tracking
  • Google Font API
  • Google Maps
  • Woo Commerce
  • AdRoll
  • Bing Ads
  • Gravity Forms
  • Facebook Custom Audiences
  • Facebook Widget
  • Facebook Login (Connect)
  • HasOffers
  • Zopim
  • Friendbuy
  • Yahoo Analytics
  • DoubleClick
  • Linkshare
  • AppNexus
  • Ruby On Rails
  • MailChimp
  • Google Tag Manager
  • Google Website Optimizer
  • Shutterstock
  • Gleam
  • Lotame
  • The Trade Desk
  • iTunes
  • TripleLift
  • RocketFuel
  • OpenX - Exchange
  • Turn
  • Google AdSense
  • Google Analytics
  • Nginx
  • Outbrain
  • Twitter Advertising
  • New Relic
  • OwnerIQ
  • Vimeo

About FabFitFun

Job Description

FabFitFun is seeking a Data Scientist to help support business stakeholders, recognize and capitalize on opportunities in our rich datasets, and help develop long-term processes and pipelines. In this role, the Data Scientist will use machine learning algorithms to help solve real business problems as well as perform the necessary data mining/cleaning, relevant statistical analyses, and tuning/implementation of appropriate models and algorithms. Our ideal candidate will be up to date with modern techniques and algorithms and possess knowledge and/or experience of subscription business models. 

What you’ll do:

  • Assist in carrying out analyses for various business teams
  • Develop clear visualizations to convey complex ideas
  • Perform deep and continuous exploration of high-volume data
  • Contribute to and manage standards of documentation on model development and data dictionary
  • Analyze data from multiple databases (Stripe, Recurly, etc) to drive optimization and improvement of product recommendation, customer segmentation, marketing attribution etc.
  • Develop, tune, and deliver various models and algorithms
  • Utilize Jupyter Notebook to create, test, and display data cleaning, data science models and testing
  • Own analytics projects from start to delivery (business requirements ,data collection, model development and operationalizing models )
  • Visualize and present data for stakeholders using different reporting platforms  ( e.g: D3, ggplot, mpl,seaborn, Looker etc.)

What you’ll bring:

  • Bachelor’s or Master’s degree in Data Science, Engineering or Related Field
  • 1+ years of relevant work experience in Data Science, machine learning, statistics 
  • Self-starter attitude and ability to take on projects with little direction
  • Proven ability to tackle business problems with data science solutions
  • Strong background in Statistics and statistical modeling
  • Knowledge of Machine Learning algorithms (SVM,KNN, Decision Trees, Random Forests, regression, etc.)
  • Excellent programming skills (Python, Pandas, Numpy, Scipy, SQL)
  • Experience with consumer/consumer-facing data
  • Experience with 1 or 2 of the following is highly preferred:
    • Recommender systems
    • Time-series analysis and ARIMA models
    • Financial transactional data
    • Experience with deploying models with real time training

What you’ll get:

  • Opportunity to work on rich data sets with direct business impact
  • Ability to work on major projects in areas like product recommendation, user segmentation, churn and retention prediction
  • Amazing benefits including medical, dental, vision, FSA, and 401k
  • Unlimited PTO
  • Catered meals, kitchen stocked with great snacks and drinks
  • Free FabFitFun subscription and and quarterly credit in the Add-Ons store

About FabFitFun

Discover products for a life well lived. Get $225+ in seasonal finds for $49.99. FabFitFun members receive the best, full-size beauty, wellness, fashion, and fitness products delivered as a curated seasonal surprise, 4x per year. Get FREE shipping and save $5 with code WINTER5.

Headquarters
Size
340 employees
Industry

Tech Stack

  • DNS Made Easy
  • Mailchimp Mandrill
  • Gmail
  • Google Apps
  • MailChimp SPF
  • Microsoft Office 365
  • Zendesk
  • Amazon AWS
  • Greenhouse.io
  • Segment.io
  • Taboola Newsroom
  • Amplitude
  • DoubleClick Floodlight
  • SiteScout
  • Apache
  • Bootstrap Framework
  • Google AdWords Conversion
  • Perfect Audience
  • Hotjar
  • WordPress.org
  • SimpleReach
  • Quantcast
  • Yahoo Ad Manager Plus
  • Kenshoo
  • Google Analytics Ecommerce Tracking
  • Google Font API
  • Google Maps
  • Woo Commerce
  • AdRoll
  • Bing Ads
  • Gravity Forms
  • Facebook Custom Audiences
  • Facebook Widget
  • Facebook Login (Connect)
  • HasOffers
  • Zopim
  • Friendbuy
  • Yahoo Analytics
  • DoubleClick
  • Linkshare
  • AppNexus
  • Ruby On Rails
  • MailChimp
  • Google Tag Manager
  • Google Website Optimizer
  • Shutterstock
  • Gleam
  • Lotame
  • The Trade Desk
  • iTunes
  • TripleLift
  • RocketFuel
  • OpenX - Exchange
  • Turn
  • Google AdSense
  • Google Analytics
  • Nginx
  • Outbrain
  • Twitter Advertising
  • New Relic
  • OwnerIQ
  • Vimeo
FabFitFun

360 North La Cienega Boulevard, Los Angeles, California, United States, 90048