Data Scientist

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 brings to bear the market’s most powerful proprietary data assets, and together we are helping the world’s biggest brands make better and faster media and marketing decisions. We are permanently disrupting the landscape of audience measurement. For more information, please visit nielsen.com, or follow us: @Nielsen 
About the teamThe Nielsen Identity team is part of the Nielsen Media Data Science division. Our Identity Engine connects the various devices of individual users to create a holistic view of consumers across all channels and devices – including display, video, audio, offline, mobile and smart TVs – enabling content providers and marketers to measure engagement of individuals and households at scale. Our output feeds into a number of other Nielsen products and services. 

What will I do?

• Perform advanced analytics on various parts of the Nielsen Identity Engine (NIE)Use sophisticated algorithms and data mining strategies to build solutions that optimize quality and performance
• Develop and maintain data pipelines for internal and third-party data
• Support the product team and partner with engineering to solve complex analytical challenges
• Evaluate our outputs using tests and experiments 

Is this for me?

• Required
• Degree in computer science, statistics, operational research, STEM, or similar
• One or more years work experience in data science and analytics
• Proficiency in SQL, experience working with relational databases
• Proficiency in Python (or similar) for data analysis and software development
• Working knowledge of bash and git
• Strong communication skills, ability to explain complex problems
• Passion for analyzing and utilizing large data sets
• Good vibes, integrity, and good work ethic

Preferred
• Experience working on AWS, e.g. S3 and EMRP
• Experience in media or marketing analytics, including campaign measurement, cross-platform deduplication and lookalike modeling or experience in online media and the ad tech ecosystem is advantageous