Data Scientist

FOR IMMEDIATE CONSIDERATION, please send your resume to matt.curran@rht.com. Robert Half Technology (RHT) is looking for a Data Scientist for a major upcoming initiative with one of our most exciting clients in the Entertainment industry. They are a streaming video service, and your first project would be working on their "recommendation algorithm" - similar to other video services' "You May Also Like..." feature. This would be a full-time role with RHT's Salaried Professional Services program, where you would then be a consultant on our client's project (you would receive a full salary, benefits, 401(k), time off, etc.). Once this project is complete, you would continue to receive your salary would then be redeployed on another client's project. Primary Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Develop and deploy testing hypotheses and analyze test results, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights Leverage analytical tools to understand consumer behavior, e.g. click through rates, golden pathways, conversion analysis, marketing effectiveness Ask and answer the next question(s) after gathering and analyzing the data to make insights more powerful not just delivering what was asked for! Desire to participate in an "Open Source" learning environment where sharing, documenting, teaching, and collaborating with others is the culture Job Requirements 5+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact. PhD or MS degree in Statistics, Mathematics, Operations Research, CS, Econometrics or related field Statistical knowledge and intuition - ideally utilized in A/B testing Experience with distributed databases and query languages like Hive, Spark, Scala, or Pig Programming experience with a scripting language such as Python, Perl, Java, or Ruby. Proficiency with a statistical analysis tool such as R or SAS Relational, no-SQL, and/or columnar data experience required Experience with SQL Machine learning experience Strong knowledge of Google Analytics, Omniture, Kochava, and/or other web or mobile analytic toolset Ability to tell a story with data What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you're seeing in the data to make business recommendations Ability and desire to lead projects independently from start to finish, working with internal and external teams to make decisions and maintain momentum Excellent time and project management skills, with the ability to manage detail work and communicate project status effectively to all levels Proven track record in meeting aggressive deadlines FOR IMMEDIATE CONSIDERATION, please send your resume to matt.curran@rht.com. - provided by DiceAlgorithm, Algorithms, Analysis, Development, Java, Management, Mathematical, Mathematical Models, Perl, Programming, Project, Project Management, Python, Research, Ruby, SAS, SQL, Statistical Analysis, Testing, Video

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