At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.
Nielsen's Data Science organization has an opportunity available for an Associate Data Scientist. 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
- Create various prototypes for research and development purposes.
- Perform data analysis and design data visualizations to inform decision making and model building.
- Research, design and implement analytic and mathematical approaches and algorithms.
- Design and test analytical modules for Nielsen modeling and optimization 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
- Masters degree in Statistics, Econometrics, Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or Related field.
- 1+ yr 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 techniquesProficient 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 plusFamiliarity with cloud providers (e.g. AWS, Azure) is a plus.
- Excellent oral and written communication skillsQuick 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
