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Director of Data Science

Newport Beach, CA
Due to COVID-19, applicants will be interviewed remotely.  And you can start working remotely due to COVID-19 if you get hired”

To present yourself best, download your free "Remote Interview Checklist" https://match-relevant.com/free-checklist

Want to join a well funded and growing Startup? We are a platform which enables 150 Million gamers in the US to earn, save and win money while playing all the top games.  

The Role:
As the Director of Data Science / Business Intelligence, you will oversee all responsibilities.  Some areas of coverage will include game company attribution measurement, financial services technology, KPIs across for both game publishers and fin-tech.  If you have led a team of Data Scientists and are looking to make a a major impact lets' chat!.   To fast track the process, schedule a time here:  https://calendly.com/jake-villarreal/calendar

Skills and Qualifications
  • Minimum 5 years experience.
  • Degree or equivalent in a relevant field required (Math, Statistics, Engineering, Physics, etc.)
  • Highly proficient with SQL
  • Experience coding in Python or other programming language
  • Experience with any BI tool (Looker, Tableau, Qlikview) is a plus 
  • Highly analytical and structured thinking
  • 4-5 years of experience in an analytical field
Roles and Responsibilities
  • Provide data insights for product management and marketing decision making
  • Continued development and maintenance of our ETL pipeline
  • Participate in “deep-dive” research projects, such as detailed product analysis, customer segmentation, lifetime value analysis, etc.
  • Develop and own predictive analytics at Blast - e.g. predicting user value, churn and other behaviors
  • Identify potential business opportunities within your area and design approaches to capitalize on those opportunities.
  • Translate business needs to technical requirements and AB-tests, and work with teams to ensure correct implementation to allow easy, precise analysis of the impact.
  • Be the pro-active owner of the entire data chain
Our Stack:
  • Python (pandas, numpy, scikit-learn)
  • SQL
  • Jupyter notebooks
  • AWS (Redshift, S3)
  • Looker
  • Tableau
  • ETL management
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