AI / ML Data Scientist I

Company Description

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future

Job Description

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.

Qualifications

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.

Additional Information

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.

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.