At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. The Digital Innovation team builds and maintains mathematical, statistical, andmachine learning models that measure the content and ads people interact with online.We ideate, test, implement, explain, and enhance these models to ensure that ourmeasurements are the best in the rapidly changing digital landscape. The Data Scientist role provides an opportunity to contribute to methodologicalinnovation in the exciting and fast changing world of media measurement. This positionwill develop new methodologies to measure audiences across platforms. This is anideal position to grow as a researcher, contribute to innovative products, and deploycutting edge methodologies across platforms in audience measurement methodology. In this role, you will work closely with other members of the team to optimize thecurrent codebase, create simulation environments and pipelines, and have theopportunity to conduct research that will enhance the utility of our data. In addition, youwill have the opportunity to grow your data science skills (coding, statistics) through allaspects of the data science workflow and data product lifecycle. Responsibilities wouldrange from methodology development, analysis, lightweight automation to designingand building robust/scalable code packages.
Responsibilities :
Support reproducible data science projects end-to-end.
Deploy and maintain data pipelines and models in a production environment.
Work with cross-functional teams to productionize, validate, and optimize methodologies.
Conduct research and analytics to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not.
Communicate research findings to varying audiences.
Develop, implement and maintain good programming standards and practices across our data science and analytics codebases.
Champion and govern best practices for data use and software development.
Use git and cloud development tools extensively to iterate and improve data science workstreams.
Skills :
Bachelor’s degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.
1-2 years code development/research experience in a business setting.
Strong proficiency with Python, Spark, SQL, Unix, git, and AWS (S3 and EC2).
Ability to communicate complex results and findings in a clear and concise manner to wide range of business audiences, both technical and non-technical.
Excellent software engineering fundamentals.
Excellent debugging skills.
Excellent machine learning fundamentals.
Outstanding statistical and analytical skills.
Collaborative code development experience, including version control, unit/integration testing, code review and sharing.
