• Chicago
  • Save Job
  • 4 - 7 Years
  • Posted : above 1 month

Job Description:

Nielsen Advanced Video Advertising is a new initiative that combines Gracenotes market leading Automatic Content Recognition (ACR) technology and strong relationships with Smart TV manufacturers with Nielsens core audience measurement expertise and assets to focus on dynamic ad insertion on Smart TVs and Smart TV measurement (viewership, ad exposure)

We are currently looking for a Lead Data Scientist to support the development and implementation of methodologies to measure Smart TV viewership and integrate Smart TV data with Nielsens traditional panel measurement


Lead complex research projects from beginning to end -- direct project planning, develop innovative new methodologies, enhance existing methodologies, run simulations and analyses, etc
Supervise and collaborate with other Data Scientists to execute research and development tasks
Support deployment and maintenance of data pipelines and models in a production environment
Work with cross-functional teams to productionalize, validate, and optimize methodologies
Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods
Provide support for technical guidance and training of other team members
Summarize, document, and communicate research findings to audiences of varying levels of subject matter expertise


Masters degree in statistics, mathematics, social sciences, biological/physical sciences, or computer science
4 years research experience in a business setting
Outstanding statistical and analytical skills with expertise in machine learning techniques
Proficient in Python and other programming languages (eg, SQL, Java, Scala, JavaScript, C )
Expertise with statistical software/libraries (eg, scikit learn, Spark MLlib, R)
Proficient with data visualization tools/packages (eg, d3js, Matplotlib, Seaborn, Tableau)
Experience with big data technologies (eg, AWS, Spark, Hadoop)
Software engineering experience, including version control (git, svn), unit/integration testing, code review
Excellent written and verbal communication skills

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Research/Surveyor/MR
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 17th Mar 2020

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