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 Big Data and Panel Integration team within the Data Science organization focuseson improving and enhancing Nielsen’s highly successful audience measurementproducts out in the marketplace for advertising and content measurement. As part ofthis exciting team, this position will focus on developing new methodologies tomeasure audiences across platforms (including on “connected” or “over the top”devices, smart tv’s, or set top boxes) and on evaluating and integrating new dataassets and partners into Nielsen’s existing methodologies in order to enhance orexpand the data delivered to clients. The Senior 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 and integratenew big data data assets into Nielsen’s existing methodologies. This is an idealposition to grow as a researcher, contribute to innovative products, and deploy cuttingedge 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. You will alsowrite new coding packages to support the refinement processes of behavioral mediatuning data (e.g. meter crediting rules, big data editing rules, big data refinementmodels) by producing production ready code (scalable, reusable/modular). 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 would range from methodology development, analysis, lightweightautomation to designing and building 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 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.
Provide technical mentorship.
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 or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.
3-5 years code development/research experience in a business setting.
Strong proficiency with Java, Python, Spark, SQL, Unix, git, and AWS (S3 and EC2).
Excellent verbal and written communication skills.
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.
