Jobs at Nielsen

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Nielsen is a global leader in data measurement and analytics, providing essential insights into consumer behavior and media consumption across industries like television, digital, and retail. In the tech sector, Nielsen leverages advanced data science, artificial intelligence, and cloud-native platforms to process vast datasets, delivering actionable intelligence that shapes market strategies for leading brands worldwide. Their technological footprint spans big data processing, machine learning model development, and scalable software solutions.

Candidates exploring roles at Nielsen can expect to find opportunities primarily in areas such as Software Engineering (backend, frontend, full-stack), Data Science, Machine Learning Engineering, Cloud Architecture (AWS, Azure), and Product Management. These positions often involve working with petabytes of data, developing predictive analytics tools, and building robust, scalable systems that underpin critical business decisions. Expect a collaborative environment focused on innovation and data-driven problem-solving.

By reviewing Nielsen's 315 open positions on Job Transparency, job seekers gain a crucial advantage: immediate access to transparent salary information for every listing. This allows for informed decision-making, enabling applicants to compare compensation packages effectively and negotiate confidently. Our platform provides the exact pay ranges, ensuring you understand the true value of each opportunity before you even apply, streamlining your job search and maximizing your potential earnings.

No open positions at Nielsen right now.

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Frequently Asked Questions

What is the work culture and environment like at Nielsen for tech professionals?
Nielsen fosters a data-driven and collaborative environment where tech professionals contribute to understanding global consumer behavior. Teams often work on complex, large-scale data challenges, leveraging technologies like AWS, Python, Spark, and advanced machine learning. Expect an emphasis on innovation, continuous learning, and the opportunity to see your work directly impact major media and retail strategies worldwide. The culture values analytical rigor and cross-functional teamwork.
What specific technology roles does Nielsen typically hire for, and what skills are prioritized?
Nielsen frequently seeks skilled professionals in Software Engineering (Java, Python, Scala), Data Science (statistical modeling, machine learning, R, Python), Data Engineering (ETL, big data platforms like Hadoop/Spark), Cloud Engineering (AWS, Azure expertise), and Product Management for data-intensive products. Key skills prioritized include strong analytical abilities, proficiency in distributed systems, experience with large datasets, and a solid understanding of data visualization and reporting tools.
What are the best strategies to make an application for a tech role at Nielsen more competitive?
To stand out, tailor your resume and cover letter to highlight specific experience with big data technologies, cloud platforms, and advanced analytics relevant to Nielsen's core business. Showcase projects where you've solved complex data problems or built scalable software solutions. Emphasize your ability to translate data into actionable insights, demonstrate strong problem-solving skills, and research Nielsen's recent innovations in media measurement or consumer intelligence to align your interests with their strategic goals during interviews.

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