Nielsen Data Science
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.
What will I do?
- 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.
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.
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