Sr. Data Scientist - Identity Team at Nielsen in New York, NY
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. What will I do? You use graph algorithms, analyses, and machine learning models to maximize the value of our data, all while playing an instrumental role in related products and services. Work independently but collaboratively, contributing to the Nielsen's Identity Engine Use sophisticated algorithms, modeling techniques, and data mining strategies to build solutions that optimize the quality and performance Develop and maintain data pipelines for internal and third-party data Support the product team to solve complex analytical challenges Evaluate our outputs using tests and experiments Is this for me? (E=Expected, P= Preferred) E:
Degree in computer science, statistics, operational research, STEM, or similar E:
Two or more years work experience in data science and analytics E:
Proficiency in SQL, experience working with relational databases E:
Proficiency in Python (or similar) for data analysis and software development E:
Working knowledge of bash and git 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 with graph theory problems P:
Experience working on AWS, e.g. S3 and EMR P:
Experience with data science tools such as Airflow, MLlib, MLflow, Tensorflow or PyTorch P:
Proven ability to develop machine learning models and deploy them to production 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
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Degree in computer science, statistics, operational research, STEM, or similar E:
Two or more years work experience in data science and analytics E:
Proficiency in SQL, experience working with relational databases E:
Proficiency in Python (or similar) for data analysis and software development E:
Working knowledge of bash and git 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 with graph theory problems P:
Experience working on AWS, e.g. S3 and EMR P:
Experience with data science tools such as Airflow, MLlib, MLflow, Tensorflow or PyTorch P:
Proven ability to develop machine learning models and deploy them to production 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
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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