Data Analyst - Identity Team

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Data Analyst - Identity Team - 80785

Data Science - USA New York, New York 

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 team:

The 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.

This position reports to the Director, Identity Data Science. You will take a leading role in the creation of algorithms, analyses, and machine learning models designed to maximize the value of our data, all while playing an instrumental role in related products and services.

What will I do?

• Work collaboratively, contributing to the Nielsen’s Identity Engine
• Analyse datasets and investigate discrepancies or inconsistencies
• Maintain and execute data pipelines for internal and third-party data
• Support the product team in solving complex analytical challenges
• Evaluate the outputs of experiments run by data scientists and provide feedback

Is this for me?

• (E=Expected, P= Preferred)
• E: Solid knowledge of SQL, experience working with relational databases
• E: Very good attention to detail, persistence, and diligence
• E: Strong communication skills, ability to explain complex problems
• E: Passion for analyzing and utilizing large data sets
• E: Good vibes, integrity, and good work ethic
• P: Experience using Python
• P: Experience with graph theory problems
• P: Experience with Spark SQL and AWS stack (S3, EMR)
• P: 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