Rhythmone hiring Data scientist

  • Ad server optimization, behavioral profiling and performance algorithm development.
  • Enable large video advertisers to run extremely efficient marketing campaigns that exceed aggressive ROI goals with precision and efficiency.
  • Implement ad targeting models that use advanced statistical and machine learning techniques
  • Analyze, design and implement targeted relevance algorithms.
  • Develop and implement algorithms that work with large scale data to forecast and optimize return on online advertising spend.
  • Collaborate with product management and engineering to explore tradeoffs of performance and accuracy with alternate statistical approaches.
Typical Work Day:
  • Measure and understand what our audience looks like and wants
  • Use these measurements to target audience segments at scale
  • Optimize RhythmOne operations
  • Derive and define key metrics to analyze and optimize business based on strategic goals
How we get things done:
  • Work closely with PM Team to understand & analyze requirements
  • Help create design documentation & review the same with the team
  • Collaborate with teams across geographies to finalize design documents
  • Help create low level design & test case for the module/feature
  • Help write code & work with version management tools
  • Own a feature/module & take it till go live
  • Should help write & execute unit test cases
  • Should help write & execute functional, integration test cases
  • Should help contribute in code review & improve guideline documents
  • Should help analyze & fix issues found post development
  • Actively contribute in supporting product on need basis
  • Participate in design review of other features
  • Work with solutions engineering teams to streamline the go-live process of new releases.
Technical Skills
  • MS/PhD in Computer science, Statistics or related fields is required. Recent Ph.D. graduates or Ph.D. candidates are strongly encouraged to apply.
  • 7+ years of experience; majority of experience should be in the online advertising industry.
  • Ability to design and develop complex algorithms, mathematical constructs and code.
  • Experience with behavioral targeting, online advertising/marketing, and/or user segmentation.
  • Proven track record in independently developing complex machine learning based systems, utilizing multiple machine learning frameworks and techniques for optimal accuracy and performance.
  • Must have solid understanding of statistical modeling/machine learning/ data mining/ recommender systems concepts.
  • Demonstrated ability to deal with very large datasets.
  • Strong knowledge of data structure, modeling, replication and distributed data/object relational database mapping.
  • Strong analytical quantitative and problem solving ability
  • Experience with architecting, building and deploying reliable algorithms-based ad optimization systems that work at scale is a plus.
  • Experience with R, relational databases (MySQL preferred) and Unix/Linux experience are required.
  • A solid understanding of Hadoop, Hive and Map/Reduce programming is desirable.
  • Hands on experience working with Java or C++ is preferred
Education and Years of Experience
  • M.Tech, MS, BTech, MSc from premier institutions.
  • Ph. D. in Math/Statistics/Computer Science or equivalent with an emphasis on programming
  • 5+ years designing/developing large-scale internet software systems.