AI / ML Data Scientist I

About the Role

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. This role is in 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 bridges the fields of data science, software development, and data engineering, with excitement for building models at scale and writing production-ready software for the cloud.

Key Responsibilities

• Identify AI opportunities in existing and new projects and implement 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, including trend analyses, imputing missing data, representation/sampling, bias reduction, indirect estimation, data integration, and automation.
• Continuously support and develop new projects by exploring data (variable identification, cleaning, dimension reduction, calculating distances, integrating surveys) and using output evaluation techniques for accuracy.
• Address quality escapes and fix issues in production code.
• Document new methodologies and code.

Requirements & Tech Stack

• Python
• Spark
• SQL
• Artificial Intelligence and Machine Learning
• Git and code versioning tools (Gitlab)
• Atlassian Suite: 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.
• Strength in code documentation.
• Excellent oral and written communication skills.
• Self-motivation and ability to handle multiple competing priorities in a fast-paced environment.
• Strong interpersonal skills and ability to develop effective relationships with other team members, including remotely.