This job listing expired on Feb 6, 2020
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The acknowledged leader in esports audience analytics, we’ve created sponsorship marketplace that helps rights holders monetize their fans and brands optimize their sponsorship spend by delivering actionable audience insights and offline attribution to drive improved sponsorship outcomes.

The Role:

The role of the Data Scientist is to build data products to improve our platform and client services offerings. Toward this goal you will conduct analyses, develop predictive models, deploy dashboards, and build reporting tools to process and interpret FanAI’s data sets. You’ll work directly with our Product, Engineering, and Client Services teams, reporting to our Head of Data Science, to improve and extend the data products and capabilities FanAI offers to clients, and will communicate methodology and insights to a range of technical and non-technical stakeholders at the appropriate level of detail to empower them to take action with confidence.

This Role is for you, if...

  • You LOVE sports, entertainment, gaming, and esports
  • You are passionate about making clients happy and being a key driver of client success
  • You want to scale analyses and models to build data products
  • You are a fantastic communicator of technical information, able to break down complex concepts into easily digestible chunks that don’t oversimplify
  • You understand data at scale, and want to work with a team of data scientists and engineers to find patterns and insights in that data
  • You have the DNA to be part of a fast, vibrant, ever-changing tech startup
  • You’re eager to immerse yourself in new technologies including Machine Learning, Big Data and graph analysis

Responsibilities:

  • Conceptualize and develop new data products, including dashboards, data pipelines, reporting tools, and packaged analyses and modeling tools, to extend the capabilities of internal and external facing teams; own projects from start to finish
  • Set up infrastructure to productize and scale analyses, models, and other data products
  • Work with our Engineering and Product teams to deploy within the FanAI platform
  • Support the Client Services team with creative and rigorous methodology to provide the right insights for our clients
  • Create data products, including dashboards, data pipelines, reporting tools, and packaged analyses and modeling tools, to extend the capabilities of internal and external facing teams

Desired Qualifications:

Data Science is a broad discipline that covers a wide array of skills, and with professionals from many different backgrounds. At FanAI, we’re looking for data professionals who can independently take technical projects from beginning to end through their full lifecycle, and can communicate the outputs to stakeholders across many business functions and levels of technical fluency. The qualifications listed below are typical of those we feel will be successful in the role, but we recruit for individuals, not checklists.

  • Advanced degree in quantitative or analytical field with 3+ years experience in industry
  • Expert in several of the following: Statistics and statistical modeling, experimental design, machine learning and probabilistic models, time series forecasting, clustering methods, graph analysis, and other related methods
  • Significant programming experience, preferably in Python, R, and SQL writing production-ready code
  • Experience deploying services and models to production and setting up data pipelines
  • Experience with cloud technologies (e.g. Google Cloud, AWS), Big Data technologies (e.g. Spark), and other Data Science technologies (e.g. Docker, Airflow)
  • Fluency in data analysis and communication of complex data sets in simplified, understandable ways; excellent written and communication skills
  • Ability to handle ambiguity and easily prioritize and multitask
  • Ability to deliver technical work on time, with rigor, great attention to detail, and with minimal oversight

Bonus Points for:

  • Previous work experience in sports and entertainment with teams, leagues, brands, influencers or event organizers
  • Experience in client-facing role delivering reports and presenting insights to clients

Benefits:

  • Full Health Benefits- Medical, Dental, Vision, Life
  • 401k
  • Paid Parking