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Job Summary

The Strategic Research team within the Nielsen One Data Science organization focuses on expanding and enhancing Nielsen’s digital measurement and optimization products. This branch of the team supports Nielsen ONE Content, which provides cross platform deduplication across programs and content distributors.

The Senior Data Scientist role provides an opportunity to contribute to methodological innovation in the exciting and fast changing world of media measurement. This position will develop new methodologies and improve existing ones to most optimally measure audiences across TV and/or Digital platforms. This is an ideal position to grow as a researcher, contribute to innovative products, and deploy cutting edge methodologies in audience measurement.

In this role, you will work closely with other members of the team to optimize the current codebase, create simulation environments and pipelines, and conduct research that will enhance the utility of our data. In addition, you will have the opportunity to grow your data science skills (coding, statistics) through all aspects of the data science workflow and data product lifecycle. Responsibilities may include the following: methodology development, analysis, model building, automation, and creation of robust/scalable code packages.

Responsibilities

• Own reproducible data science projects end-to-end.
• Deploy and maintain data pipelines and models in a production environment.
• Work with cross-functional teams to create, productionize, validate, and optimize methodologies.
• Conduct research and analysis to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not.
• Develop, implement and maintain good programming standards and practices across data science and analytics codebases.
• Use git and cloud development tools extensively to iterate and improve data science workflows.
• Communicate research findings to varying audiences, including producing management reports as required.
• Partner with cross functional teams (eg Product, Technology, Operations) in resolving critical data issues.

Skills Required

• Bachelor’s degree or advanced degree (preferred) in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.
• 2-4+ years of code development/statistical research experience in a business setting that drives analytic product innovation and implementation.
• Proficiency with Python, Spark, and SQL.
• Excellent machine learning fundamentals.
• Excellent statistical and analytical skills.
• Strong software engineering fundamentals and debugging skills.
• Experience with collaborative code development, including version control, unit/integration testing, code review and sharing.
• Experience working in a cloud-based environment, ideally AWS.
• Strong communication (verbal and written) and presentation skills in English.
• Strong critical thinking and problem solving skills.
• Strong sense of of curiosity, skepticism, and attention to detail.

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