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.

　　Aim of the position

　　Audience is everything! Nielsen offers the world’s most complete measurement of media-viewing behavior. Our data scientists leverage the best data assets and modeling methods to build consistent and comparable metrics of the media landscape in multiple countries. We help the world’s biggest brands make better and faster media and marketing decisions. As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies. Excited? Come join us!This position will support the Data Science team by applying data science methodologies to improve Nielsen's audience measurement capabilities and ability to deliver client impact. The role focuses on the execution of analytical projects, development of predictive models, and extraction of insights from various data sources, fostering growth and innovation within the team.

　　Responsibilities

　　Own reproducible data science projects end-to-end

　　Deploy and maintain data pipelines and models in a production environment

　　Work with global 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.

　　1-2 years code development/research experience in a business setting

　　Strong proficiency with 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 fundamentalsOutstanding statistical and analytical skills

　　Collaborative code development experience, including version , unit/integration testing, code review and sharingCuriosity and skepticism