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Nielsen

Senior Data Scientist (Data Engineer)

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Bangalore, India

1d ago
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Job Description

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 Summary

The Connected TV Measurement team within the Data Science organization focuses on expanding and enhancing Nielsen’s Connected TV ad measurement product.  Our team develops new methodologies to measure audiences across all types of connected devices and integrates new data assets into Nielsen’s existing methodologies to expand the data delivered to clients.

This Senior Data Scientist  role provides an opportunity to contribute to methodological innovation in the exciting and fast changing world of media measurement. This position will support the implementation of new methodologies and improve existing ones to most optimally measure audiences across Connected TV platforms. This is an ideal position for a data scientist/engineer to hone their technical leadership skills, while overseeing the development and deployment of cutting edge methodologies in innovative products.

In this role, you will work closely with other members of the team to optimize the current codebase, create simulation environments and pipelines, and conduct research that will enhance the utility of our data. In addition, you will have the opportunity to grow your data science skills (coding, statistics) through all aspects of the data science workflow and data product lifecycle. Responsibilities may include the following: methodology development, analysis, code optimization, automation, creation of robust/scalable code packages, technical oversight, and mentoring.
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