Data Scientist
Consultant for Nielsen
About the Role
Data Science at Nielsen Media is essential to the company's mission of measuring what people watch and listen to across TV, Digital, and Audio. This role offers a fast-paced environment for methodology and software development within a team of world-class computer scientists, statisticians, data scientists, and behavioral methodologists. The ideal candidate enjoys bridging data science, software development, and data engineering, and is excited about building models at scale and writing production-ready cloud software.
Key Responsibilities
- Identify and implement AI opportunities in existing and new projects.
- 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 for cross-platform audience measurement, including trend analyses, imputing missing data, representation/sampling, bias reduction, indirect estimation, data integration, and automation.
- Provide continuous support and development for new projects by exploring data, including variable identification, cleaning data, applying dimension reduction techniques, calculating distances, and integrating surveys. Utilize output evaluation techniques to ensure accuracy.
- Address quality escapes and fix issues in production code.
- Document new methodologies and code.
Requirements & Tech Stack
- Proficiency in Python, Spark, SQL, Artificial Intelligence, and Machine Learning.
- 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, Google 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.
Qualifications
- Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or another biological/physical science.
- 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.

