Job Description 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 Qualifications Requirements PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Related field 4+ yrs experience in working in Data Science and/or Statistical analysis Expertise 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 plus Familiarity 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 skills Well-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

About Nielsen

Nielsen shapes the world’s media and content as a global leader in audience insights, data and analytics. Through our understanding of people and their behaviors across all channels and platforms, we empower our clients with independent and actionable intelligence so they can connect and engage with their audiences—now and into the future. Nielsen operates around the world in more than 55 countries. Learn more at http://nlsn.co/6006JMfty and connect with us on social media (LinkedIn, Twitter, Facebook and Instagram).