AI/ Analytics - Cloud Computing
Senior Data Scientist -0057
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Quick Overview
Skills and expertise you’ll require
Python
Spark
SQL
Roles and Responsibilities
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
● 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 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)