Data Scientist
7 months ago
**Company Description**
Jobs for Humanity is partnering with Nielsen to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
Company Name: Nielsen
- 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.
- 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.
- 2+ yrs experience in working in Data Science and/or Statistical analysisExpertise 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 plusFamiliarity 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 skillsWell-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
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