AI / ML Data Scientist II

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

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 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

Additional Information
Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will contact you through official job boards, LinkedIn, or email with a domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @ address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

• 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 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