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Data Scientist

The Data Scientist is a key member of the Data Science team; The DS team is a core pillar of Hush that influences the decision-making process of every department. Using data, you will educate and empower the organization on improving our products and operations. Your work will range from personalization, predicting user churn, to forecasting our supply side buyer volumes.   

Objectives:

  • Build mathematical models to analyze and optimize all aspects of Hush’s properties (mobile app, fulfillment, supply chain, etc), providing actionable insights in real-time.
  • Identify optimization points within the Hush app to increase repeat purchase rate at an accelerated rate (via retention, engagement, etc), which should subsequently increase LTV.
  • Work with the live ops and development teams to implement internal tools - success is measured in % monetizing, retention, engagement, and LTV.
  • Examine marketing performance and user conversion funnel data to identify opportunities to improve ROI, user engagement, and user retention.

Your background:

  • You have an advanced degree (Masters/Ph.D.) in statistics, applied math, engineering, or other quantitative discipline
  • 3+ years of experience in quantitative analysis solving real-world problems.
  • You’re a firm believer in the practical application of machine learning and statistics - you have a deep toolkit of techniques and know how to pick the appropriate tool for the challenge at hand
  • You are proficient with R, Matlab, or other statistical packages
  • You are proficient with SQL
  • You have strong written and verbal communication skills to go with your technical expertise. It’s second nature for you to tell coherent and compelling narratives around complicated quantitative concepts that can be easily understood by non-technical stakeholders
  • You have some experience with data visualization tools like Looker, Tableau, d3
  • You’re a team player that is result focused and an intellectually curious self-starter. You bring a "can-do" attitude and are looking to own initiatives end-to-end in a fast-paced, rapidly changing environment
  • You are willing to work in a dynamic startup environment and use it as an opportunity to rapidly grow and make an impact
  • You are willing to work late nights and weekends, if necessary. 
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