Lead Machine Learning Engineer - Full-time / Part-time

Founded in 1923, Nielsen is the global authority on the consumer. We help over 20,000 clients in 105 countries understand consumers and grow their businesses, every day. The company is organized into two areas: What Consumers Watch, serving media, telecom and tech industries; and What Consumers Buy, serving consumer goods, retail, financial services and automotive industries.

DESCRIPTION

Design and support the architectural advancement of the Nielsen Marketing Cloud system by choosing, implementing and maintaining optimal technology solutions for the collection, storage, processing, and analysis of large streams of digital behavioral data used for building, monitoring, and analyzing machine learning models for advertising: Use the Marketing Cloud monitoring stack to design and support systems which allow scientists to ensure scale and data quality, and which allow clients to see results of projects. Maintain, implement, and monitor the solutions in production of the Nielsen Marketing Cloud platform. Select and integrate large scale and/or streaming data processing tools and frameworks to enhance the existing infrastructure for new business cases. Leverage proprietary tools and frameworks to implement the Extract Transform Load (ETL) process in batch and streaming frameworks. Monitor efficiency and availability of audit models and solutions, and advise Architecture team, Site Reliability Engineers, and the Data Science department on any necessary infrastructure changes. Apply knowledge of Marketing Cloud data infrastructure to gather data mart requirements from Nielsen data scientists and analysts. Provide related thought leadership across the Nielsen Media landscape. Travel internationally 1 to 2 times per year (primarily to Israel), for 1 to 2 weeks per trip. Tools used: streaming frameworks; Spark Streaming and Flink; messaging systems: Kafka and/or RabbitMQ; AWS Cloud; Presto Big Data querying tool; Sqoop ETL framework; Apache Airflow; Apache Druid; and Cloud Data warehousing tools: Snowflake and/or Redshift.

QUALIFICATIONS

Minimum Requirements: Bachelor’s degree in computer science, engineering, or a related field with an information technology focus (foreign equivalent degree acceptable) plus 2 years of experience in software development for data processing and storage. This must include: Two (2) years of experience in/with: Marketing Cloud technology stack and data infrastructure; distributed and streaming computing principles; streaming frameworks; Spark Streaming and Flink; messaging systems: Kafka and/or RabbitMQ; and AWS Cloud. Must also have two (2) years hands-on experience in the following within an enterprise-level (live, client-facing) production environment: Presto Big Data querying tool; Sqoop for ETL techniques and frameworks; machine learning principles; Apache Airflow; Apache Druid; and Cloud Data warehousing tools: Snowflake and/or Redshift. Must be willing to travel internationally 1-2 times/year, for 1-2 weeks/ trip.

About Nielsen:

Nielsen is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen’s Watch segment (Nielsen Global Media) provides media and advertising clients with Total Audience measurement services across all devices where content – video, audio, and text – is consumed. The Buy segment (Nielsen Global Connect) offers consumer packaged goods manufacturers and retailers the industry’s only global view of retail performance measurement.

By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company, has operations in over 100 countries that cover more than 90 percent of the world’s population. For more information, visit www.nielsen.com.

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Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

JOB TYPE: Regular

PRIMARY LOCATION: North America-US-New York, NY