Job Description
Job Description
Responsibilities
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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.
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Research, design and implement analytic and mathematical approaches and algorithms to build scalable best of class web-based analytical solutions
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Design and test analytical modules for Nielsen modeling platforms
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Partner with our Software Engineering department to build best-of-class web-based analytical solutions
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Document and present methodology inside and outside the company
Qualifications
Requirements
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PhD or Masters degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Related field
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4+ yrs experience in working in Data Science and/or Statistical analysis
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Expertise in Python, Spark, SQL or other modern programming languages
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Experience in using machine learning libraries and techniques
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Proficient in writing production grade code using scientific computing packages (e.g., NumPy, SciPy, Scikit-learn)
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Experience with Bayesian and Frequentist statistics
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Experience with NumPyro is a plus
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Familiarity with cloud providers (e.g. AWS, Azure) is a plus
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Experience in code management, docker, and CI/CD pipelines is a plus
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Excellent oral and written communication skills
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Well-organized and capable of working independently on mission-critical projects while meeting deadlines
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Quick learner with a logical mindset and analytical thinking who is passionate about technology
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Experience in short-release life-cycle (agile processes including scrum) is a plus
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.
