Description
JOB DESCRIPTION:
About EarnIn
EarnIn is a pioneer in earned wage access, providing real-time financial flexibility for individuals living paycheck to paycheck.
We're fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway.
What You'll Do:
Drive strategic analyses that identify key opportunities to improve the core product experience for EarnIn's customers
Partner with the Product and Engineering teams to design and run experiments
Upgrade EarnIn's experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED
Partner with the Machine Learning Engineering team to design and build models that form the core of EarnIn's core product
Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues
What We're Looking For:
4+ years experience in product analytics/data science in a B2C role
Product sense and intuition to drive impact on the business and customer experience
Experience designing, running, and interpreting experiments.
Expert skillset in SQL and experience with Python or R
Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc.
Practical knowledge of machine learning techniques
Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey
Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations
Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders
Experience in Fintech is a bonus
#LI-Hybrid