Jobs at NielsenIQ

The Software Engineer will develop scalable applications, prototype features, troubleshoot issues, and support machine learning projects, primarily using Python.

Lead the design and implementation of Cybersecurity solutions focusing on Identity and Access Management and Privilege Access Management, ensuring compliance and integration across platforms while driving improvements in security posture and user experience.

The Machine Learning Engineer will design, develop, and maintain scalable ML solutions, optimize models, and implement best practices using MLOps.

The Senior Program Manager will oversee program activities, coordinate stakeholders, manage risks, ensure governance, and drive execution toward meeting program objectives.

As a Data Engineer, you will develop and enhance applications using Spark, Pyspark, Scala, and SQL, and work with cloud technologies like Azure while participating in CI/CD pipelines and Agile teams.

Design, develop, test, and deploy backend services with Java and Spring Boot. Build REST APIs, work with databases, maintain code quality, and collaborate using GitHub in an agile environment.

As a Data Scientist, you will manage data science solutions, develop models, communicate methodologies, and foster knowledge exchange within the company.

The AI Engineer will design and implement AI applications using various frameworks and tools, manage AI workloads on Azure, and collaborate with teams to deploy solutions.

The Frontend Engineer will develop and maintain web applications, collaborating in an agile team, writing unit tests, and managing tasks using JIRA.

The Software Engineer will lead a team to develop and deliver software solutions, mentor junior developers, and ensure quality through design and code reviews.

The DevOps Engineer designs and manages cloud infrastructure, develops CI/CD pipelines, automates tasks, and improves system performance and security.

The role involves leading a team, managing client relationships, analyzing operational data, and ensuring service excellence through collaboration and process improvement.

Oversee and develop team members, ensure compliance with processes, enhance operational excellence, and engage stakeholders to resolve issues.

The Senior Operations Manager leads the Coding for an Omni/Growth program, managing extensive teams and enhancing operational efficiency across multiple workstreams. Responsibilities include stakeholder engagement, overseeing 3rd party performance, and driving process improvements and growth adaptations across functions.

The Associate Manager will lead and develop a team, address client issues, monitor performance metrics, and collaborate across teams to enhance customer service and process improvements.

The Data Engineer role involves creating data flows, managing dependencies, improving CI/CD pipelines, and deploying data models in a collaborative Machine Learning team setting.

The Associate Manager of Statistical Operations leads forecasting and analytics, ensuring data integrity and operational efficiency, while collaborating with various teams.

The Support Engineer provides technical support for production systems, resolves incidents, conducts root cause analysis, optimizes processes, and ensures service levels are met.

The role involves leading business process transformation, gap analysis, AI integration, and prototype validation while collaborating with product and technology teams to optimize workflows.

This role involves managing data operations, ensuring data quality, collaborating with teams, and handling large datasets using Python and SQL. Responsibilities include data analysis, compliance, and productivity initiatives.