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.
3+ 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