Director, Data Science
FabFitFun is looking for a Director of Data Science to analyze massive sets of data, generate powerful insights, and create data products which directly inform our daily decisions on growth, retention, revenue, merchandising, new categories, operational efficiencies, and consumer experiences.
The Data Science department will apply quantitative analysis, data mining, and the presentation of data to guide and steer the team’s efforts to convey key product trends and opportunities. Ultimately, you will lead (and grow) the team to develop machine-learning algorithms to personalize user experience, product recommendations, and churn and retention.
What you’ll do:
- Create overarching strategy in how to leverage Data Science to solve multiple business problems as well as proactively finding opportunities
- Help foster cooperation and collaboration between the Data Science team and its multiple business partners and stakeholders (i.e Finance, BI, Marketing, etc)
- Develop documentation and processes to maintain a pipeline for development and deployment of models and algorithms
- 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 deployment)
- Present and explain results to major stakeholders and executives
What you’ll bring:
- Master’s degree or PhD in Data Science, Engineering or Related Field
- 5+ years of relevant work experience
- Proven ability to tackle business problems with data science solutions
- Proven leadership experience in building and managing teams
- Strong knowledge of modern Machine Learning algorithms (SVM,KNN, Decision Trees, Random Forests,regression etc.)
- Expert programming skills (Python, Pandas, Numpy, Scipy, SQL)
- Experience with consumer/consumer-facing data
- Experience with 2 or 3 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
- Conjoint analysis for product and retail data
What you’ll get:
- Provide actionable data insights across all our business functions to enable optimization and identify new business opportunities
- Opportunity for a data enthusiast to experiment and pioneer new frontiers
- 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