Senior Data Scientist

FabFitFun, one of the fastest growing companies in L.A. and the U.S. according to Inc, Forbes and E&Y, is seeking a Senior 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, 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
  • 3+ 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 take the lead 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

Meet Some of FabFitFun's Employees

Brian K.

Data Scientist

Brian makes data comprehensible for all of FabFitFun—collecting and interpreting data to assist the company in decision-making processes.

Reina G.

Director Of Brand Partnerships, Lifestyle

Reina creates relationships with brands to craft an amazing experience for FabFitFun’s members. She and her team curate the products that end up in their seasonal subscription boxes.

Back to top