Senior Data Scientist

 

About Airtime

Today, online means alone immersed in microblogs and success theater.  We're changing that. We are charting the course for the next era of the Internet: live, shared experiences. We're building a new way to use the Internet together.

That’s why we’re pioneering a new kind of social experience, one designed for togetherness.  At its core, Airtime is a social platform for doing whatever together. Gather with your people to explore the Internet: group video, listen to music, chat, watch stuff, send pictures, GIFs, and more.

Go watch the app marketing video on https://air.me/ then check out the app in person.

Our company was founded a few years ago by Sean Parker and Shawn Fanning and is backed by Kleiner Perkins, Andreessen Horowitz, Google Ventures, Founders Fund, and a host of other amazing partners

THE ROLE

  • Work with our product team to uncover actionable insights from behavioral user data.
  • Provide analytical and data support to research team for setting up research studies (e.g. analyzing user segments, pulling lists for surveys and qualitative user tests, etc.)
  • Create analytics frameworks and set best practices globally, including development of tools and dashboards
  • Create sophisticated custom visualizations from large datasets
  • Build and maintain analytics data pipelines
  • Help empower data-driven product and marketing efforts

QUALIFICATIONS

  • At least 4 years experience analyzing data for marketing and/or product teams.  Although academic experience is important, we are looking for those candidates who have industry experience post academia.
  • Experience in digital marketing analytics at a mobile startup is preferred.
  • BA/BS, MS, or Ph.D. in mathematics, statistics, computer science, or a quantitative discipline
  • Proven track record and enthusiasm for complex problem solving and analysis, including working with large data sets
  • Quantitative mindset, comfortable and proficient with statistical analyses
  • Hands-on experience with visualization tools with expertise in building advanced custom visualizations in Power BI, Tableau and state of the art Data Viz frameworks ( D3.js, Processing.js,Raphael.js etc.)
  • Hands-on experience with Python, R, Matlab, SQL, or other related analytical/programming tools and software
  • Ability to communicate complex analytical insights in a simple, concise manner and to build strong relationships with marketing and product teams to effectively convert insights into action
  • Comfortable and confident working as part of a face-paced, self-directed, dynamic team
  • Experience with A/B Testing best practices and analysis

NICE TO HAVES

  • Knowledge of Statistics is key for this role
  • Experience with Data dashboarding tools like Looker, Mixpanel etc.
  • Experience with custom visualization tools like Power BI or Tableau
  • Experience with custom visualization JS frameworks like D3, Raphael etc.
  • Experience with NoSQL databases, such as Redshift, HBase, Cassandra, MongoDB
  • Experience working with Amazon Web Services
  • Experience with Recommendation systems 
 
 
 

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