Data Science Manager, Infrastructure Strategy
Data Science Manager, Infrastructure Strategy Responsibilities
  • Build and manage a team of the very top talent – the brightest minds in data science and data engineering with the ability to not only keep up with, but also pioneer, in this space.
  • Collaborate with and influence leadership so that your team’s work directly impacts infrastructure strategy.
  • Inform, influence and support engineering decisions.
  • Develop new techniques and data that will enable answering previously unanswered and discover new areas of opportunity.
  • Establish and maintain healthy and reliable partnerships with existing and future stakeholders that come from dramatically varying backgrounds, from the highly technical to the highly creative.
  • Provide success in partnering teams with dramatically varying backgrounds, from the highly technical to the highly creative.
  • Apply your expertise in quantitative analysis, data mining, machine learning, experimentation and the presentation of data to see beyond the numbers and understand how user behavior affects infrastructure systems (and vice versa).
  • Manage development of data resources, gather requirements, organize sources, and support product launches.
Minimum Qualifications
  • Advanced degree in a quantitative field – computer science, statistics, operations research, economics, etc.
  • 6+ years of experience in Analytics, Data Science or Software Engineering, and 3+ years of experience in managing a team of Data Scientists in a formal or informal capacity.
  • Experience with designing a data science roadmap and executing the vision behind it.
  • Experience instilling a culture of ownership, collaboration, and results.
  • Track record of recruiting talent in analytics, data science, and software engineering.
  • Track record of delivering data-driven products and insights, and influencing product and engineering decisions.
  • Demonstrated experience driving impact through others.
Preferred Qualifications
  • Strong understanding of statistical analysis, experience with packages, such as R, SciPy, NumPy etc.
  • Skills in at least one programming language
  • Experience with managing a remote team
  • Experience with large data sets and distributed computing

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