Nielsen Media is the global leader in measuring what people watch and listen to on TV, Digital and Audio in a changing media landscape. Data Science is essential to Nielsen’s mission. We offer a fast-paced environment for methodology and software development in a team of world-class computer scientists, statisticians, data scientists, and behavioral methodologists.
What would make me a great candidate?
You enjoy bridging the fields of data science, software development, and data engineering. You’re equally excited about building models at scale and writing production-ready software that can run in the cloud. You understand machine learning and know how to implement best software development practices across a team. You’re intellectually curious and prepared to learn from your peers.
Qualifications
What will I do?
Build measurement and planning solutions for publishers, advertisers, and agencies.
Identified the AI opportunities in existing and new projects and implemented them.
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
Communicate methodology and research findings to varying audiences
Support research on methodology changes to cross-platform audience measurement. The primary research areas include trend analyses, imputing missing data, representation/ sampling, bias reduction, indirect estimation, data integration, and automation.
Continuous support and development of new projects by exploring the data - Variable Identification, cleaning the data , applying dimension reduction techniques, calculating distances and integrating the surveys. And also using output evaluation techniques in order to make sure of the accuracy.
Address quality escapes and fix issues in production code.
Document new methodologies and code.
Additional Information
Is this for me?
0-3 years work experience
Proficiency in Python, Spark, SQL, Artificial intelligence and Machine learning
Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or another biological/physical science.
Strength in code documentation
Proficiency in Git and code versioning tools (Gitlab)
Proficiency in Atlassian Suite such as JIRA and Confluence.
Familiarity with cloud computing (AWS, Goolge Cloud preferred)
Knowledge of statistics and machine learning
Ability to manipulate, analyze, and interpret large datasets
Knowledge of dashboarding and visualization tools like Spotfire/Tableau.
Business Skills:
Excellent oral and written communication
Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment
Strong interpersonal skills and the ability to develop effective relationships with other team members, including remotely.