At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.
Job DescriptionOur Outcomes Measurement Data Science associates come from diverse disciplines that include business, economics, engineering, mathematics, operations research, physics and statistics. These professionals drive innovation and insight through continual ideation, complex analyses and delivery of insights to our clients. Because measurement is at the core of Nielsen’s business, our products have high visibility and make a direct impact on our clients.
Nielsen's Data Science organization has an opportunity available for a Senior Data Scientist II. 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 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
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 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)
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