Director of Data Science

Company: Match Relevant
Location: Newport Beach
Posted on: February 25, 2021

Job Description:

Due to COVID-19, applicants will be interviewed remotely.--

Learn how candidates are getting hired--during COVID.
https://match-relevant.com/your-story


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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