Senior Data Scientist
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Job Details
Skills And Tools:
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
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Develop systems and practices that enable Mintrics to leverage cutting edge data mining and machine learning techniques
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Develop solutions that provide our customers with cutting edge features and tools for video intelligence
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Create statistical models of video engagement and audience behaviors that power compelling insights for Mintrics customers and the industry at large
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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
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Advise Mintrics employees on how to leverage data science in the digital video market
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Interact with Mintrics customers directly, providing them with custom insights and acting on their feedback about Mintrics’ video intelligence products
Job Requirements
JOB REQUIREMENTS
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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
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Experience implementing and operating production scale software systems that implement sophisticated machine learning or data mining algorithms
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Proficiency in Python or similar object-oriented programming languages
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Experience in technical projects from conception to production