Sr Data Scientist Engineer

United States

Full Time Senior-level / Expert USD 68K - 135K *
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A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.

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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.
What is the role?Data Science is core to what Nielsen does, and our research projects have high visibility in directly affecting the results of our business and our clients. This Lead Data Scientist role in the Nielsen ONE Digital and Deduplication team provides an opportunity to contribute to methodological innovation and pipeline development in the exciting and fast-changing world of media measurement. This is an ideal position to grow as a data professional by leading complex data analyses and building out scalable analytic capabilities across the team, while also developing subject-matter expertise in digital methodology and cross-platform audience measurement. 
Who am I working with?The Nielsen ONE Digital and Deduplication team within the Data Science Global Media organization focuses on improving and enhancing Nielsen’s highly successful products in the marketplace for digital & TV advertising and content measurement. As part of this exciting team, this position will work closely with data scientists, data engineers, product managers, and others that are committed  to building out and bringing to market new methodologies and data products that accurately estimate audience duplication across multiple screens (e.g. TV, PC, mobile, OTT). 
Why do I want to work here?As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms⁠—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.  

What will I do?

  • Create, maintain, and support various methodologies in production pipelines, including machine learning and other statistical methods.
  • Act as a liaison with cross-functional teams to design, implement, and test production pipelines.
  • Lead pipeline prototyping and supporting pilot programs for R&D purposes.
  • The primary areas include – but not limited to – data integration, automation, generalization, harmonization and working with different data sources.
  • Design and implement robust Data Science workflows that solve for cross-platform audience estimation through cutting-edge methodologies 
  • Develop processes to maintain and enhance these methodologies throughout their lifecycle in client-facing products
  • Stay up-to-date on industry changes to digital measurement (e.g. new devices and platforms, privacy law updates, changes in browser/app measurement, etc.) and critically assess how it would impact Nielsen measurement  

Is this for me?

  • The ideal candidate will have:
  • 2+ years of experience in a data science or data engineering role
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.) with outstanding analytical expertise and strong technical leadership
  • Proficiency in at least 2 of: Python, SQL, Spark
  • Experience building data pipelines, working with big data in cloud environments (e.g. AWS, Databricks) and/or Airflow management tools 

Preferred Skills:

  • Advanced degree in Data Science, Computer Science, Information Systems, Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.)
  • Experience productionalizing statistical models and/or machine learning on large, complex datasets
  • Demonstrates experience in Nielsen methodologies, data collection, platforms, research processes and operations. 

* Salary range is an estimate based on our salary survey at

Tags: Airflow AWS Big Data Databricks Data pipelines Engineering Machine Learning Python R R&D Research Spark SQL Statistics Streaming Testing

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  3  0  0
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