Job Description

At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

Nielsen's Data Science organization has an opportunity available for a Data Scientist. The ideal candidate must have expertise in leading the research and development of analytic solutions with a focus on mathematical modeling, statistical methods, and machine learning processes. The candidate would also have the capacity to work in an agile development environment alongside software engineers, and a solid foundation in developing solutions for marketing, and advertising organizations.
### Responsibilities

• Use and fit different mathematical and econometric models for explanatory purposes that deliver better decisions, and create high-quality data visualizations for internal and external purposes.
• Research, design and implement analytic and mathematical approaches and algorithms to build scalable best of class web-based analytical solutions .
• Design and test analytical modules for Nielsen modeling platforms.
• Partner with our Software Engineering department to build best-of-class web-based analytical solutions.
• Document and present methodology inside and outside the company.

### Requirements

• PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Related field.
• 2+ yrs experience in working in Data Science and/or Statistical analysisExpertise in Python, Spark, SQL or other modern programming languages .
• Experience in using machine learning libraries and techniques.
• Proficient in writing production grade code using scientific computing packages (e.g., NumPy, SciPy, Scikit-learn).
• Experience with Bayesian and Frequentist statistics .
• Experience with NumPyro is a plusFamiliarity with cloud providers (e.g. AWS, Azure) is a plus.
• Experience in code management, docker, and CI/CD pipelines is a plus.
• Excellent oral and written communication skillsWell-organized and capable of working independently on mission-critical projects while meeting deadlines.
• Quick learner with a logical mindset and analytical thinking who is passionate about technology.
• Experience in short-release life-cycle (agile processes including scrum)is a plus