Data Scientist

New York City

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Nielsen

A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.

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Data Science is at the core of Nielsen’s business. Our team of researchers come from diverse disciplines and they drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights around the world. We support all International Media clients and are located where our clients are.
Nielsen Media measures the media-consumption habits of homes across the country. Our data paints a rich portrait of the American Audience. As a pioneer and industry leader in audience measurement for more than half a century, we take pride in our technology and processes, and we are constantly searching for new ways to advance our legacy of innovation.  WHY YOU? You are curious, persistent, logical and with a growth mindset – a true data enthusiast at heart. You enjoy living by the code of your craft and delivering outstanding solutions for complex problems. You love designing solutions and models to support decision making and are at your best when working in a team. WHAT IS THE ROLE? You will be part of a young and international team to provide the best solutions to major clients all around the globe. Using advanced modeling and analytics, you work hands-on in either our client project team to help brands in their media evaluation, or in our R&D team to develop future solutions and scale existing product offerings. Tasks and Responsibilities to expect in this role: • Write and check code in collaboration with other team members to process structured and unstructured (client) data using advanced analytical solutions • Use and it different mathematical and econometric models for explanatory purposes that deliver better decisions • Translate model outcomes into actionable insights and business value • Create high-quality data visualizations for internal and external purposes • Contribute to the standardization and scalability of existing and new client solutions • Communicate effectively with people in different roles (e.g. project leads, tech leads) to discuss complex data-driven and code-related matters Requirements • Master’s or Bachelors Degree in Econometrics, Computer Science, Math, Applied Statistics or a related ield • Programming experience, python preferred • Exposure to data analysis tools and libraries, such as NumPy / SciPy / scikit-learn / pandas / matplotlib, etc. • Experience with PyTorch and Bayesian statistics is a plus • Familiarity with at least one of the cloud providers (e.g. AWS) is a plus • A keen eye for data properties and how to sense-check them • Aptitude for problem solving, also when confronted with imperfect data or knowledge • English proiciency

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Bayesian Computer Science Data analysis Econometrics Matplotlib NumPy Pandas Python PyTorch R R&D Scikit-learn SciPy Statistics Testing

Perks/benefits: Startup environment

Region: North America
Country: United States
Job stats:  15  2  0
Category: Data Science Jobs

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