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Senior Data Scientist

Mintrics
Mohandessin, Giza
Posted 5 years ago
51Applicants for1 open position
  • 11Viewed
  • 0In Consideration
  • 0Not Selected
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Job Description

JOB SUMMARY

  • Mintrics is the ultimate social video analytics tool.
  • We provide media companies, brand marketers, and agencies with actionable insights that allow them to produce killer videos and enhance their video distribution decisions.
  • You’ll help to lead the effort to combine that database with other sources of information to generate insights and analytics that make Mintrics the industry leader in actionable video intelligence.
  • Also responsible for key projects in Mintrics’ data science program, from the computer systems utilized, to the implementation and operation of Mintrics data insights systems.
  • You’ll be as much as a hands-on contributor as every other engineer, in addition to doing exploratory data analysis, research of algorithms and modeling, error analysis, and communication of results.
  • This is a real greenfield opportunity for the right candidate to make a name for themselves building industry-leading data science.

JOB DESCRIPTION

  • Develop systems and practices that enable Mintrics to leverage cutting edge data mining and machine learning techniques

  • Develop solutions that provide our customers with cutting edge features and tools for video intelligence

  • Create statistical models of video engagement and audience behaviors that power compelling insights for Mintrics customers and the industry at large

  • Implement the systems and code necessary to accomplish data modeling and analysis needs of Mintrics - this role is as much engineering as it is science

  • Advise Mintrics employees on how to leverage data science in the digital video market

  • Interact with Mintrics customers directly, providing them with custom insights and acting on their feedback about Mintrics’ video intelligence products

Job Requirements

JOB REQUIREMENTS

  • Bachelor's degree in Statistics, Math, Computer Science, machine learning, statistics, data mining, or a related field with at least 2 years of relevant industry experience

  • Experience implementing and operating production scale software systems that implement sophisticated machine learning or data mining algorithms

  • Proficiency in Python or similar object-oriented programming languages

  • Experience in technical projects from conception to production

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