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. 
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. Design and prioritize work for smaller teams Mentor newly hired associates
Requirements PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Related field 4+ years 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 cloud providers (e.g. AWS, Azure)Experience in code management, docker, and CI/CD pipelines. Experience with Num Pyro is a plus. Well-organized and capable of leading multiple mission-critical projects simultaneously while meeting deadlines Excellent oral and written communication skills Attention to detail – quality, and accuracy in all work and interactions Quick learner with a logical mindset and analytical thinking who is passionate about technology Experience in short-release life-cycle (agile processes including scrum)

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
• Design and prioritize work for smaller teams 
• Mentor newly hired associates

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 cloud providers (e.g. AWS, Azure)
• Experience in code management, docker, and CI/CD pipelines
• Experience with NumPyro is a plus
• Well-organized and capable of leading multiple mission-critical projects simultaneously while meeting deadlines
• Excellent oral and written communication skillsAttention to detail – quality, and accuracy in all work and interactions
• Quick learner with a logical mindset and analytical thinking who is passionate about technology 
• Experience in short-release life-cycle (agile processes including scrum)