Principal Data Scientist_S

Responsibilities

• Use and fit different statistical and econometric models to create prototypes for marketing effectiveness solutions.
• Research, design and implement analytic and mathematical approaches and algorithms to build scalable best of class web-based analytical solutions  
• Design, write and test modules for Nielsen analytics platforms using Python, R, SQL,  Spark, and AWS products
• Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy and StatsModels.
•  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 Statistics, Mathematics, Applied Mathematics, Engineering or Related field.
• 10+ yrs experience in working in Statistical Analysis and/or Data Science.
• Expertise with Bayesian and Frequentist statistics, econometric models, and/or supervised learning models.
• 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 in code management, docker, and CI/CD pipelinesExperience 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)