Senior Data Quality Support I

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 Gracenote is the top provider of entertainment information, creating industry-leading databases of TV, movie, and music metadata for entertainment guides, applications and in-car entertainment. We are the leading supplier of TV and Movie entertainment data. We supply data to leading entertainment platforms and devices. Role Overview A Senior Data Quality Support I plays a pivotal role in the development of artificial intelligence systems. This professional is responsible for sourcing, cleaning, labeling, and organizing vast amounts of data that feed into AI models. The accuracy and quality of this data directly influence the performance and reliability of AI applications, making the curator's role essential for any data-driven organization. Senior Data Quality Support I collaborates closely with AI engineers and data scientists to understand the specific data requirements necessary for training robust AI models. Their meticulous attention to detail ensures that the datasets are free from inconsistencies and errors, thereby enhancing the overall effectiveness of AI solutions. Responsibilities Responsible for identifying, creating, and maintaining a high-quality, trusted \"golden set\" of data, ensuring its accuracy, completeness, and accessibility for critical business decisions or AI model training. Responsible for sourcing, cleaning, labeling, and organizing vast amounts of data that feed into AI models. Proactively identify and source data sets that are critical for the organization and will form the \"golden set\". Cleanse, validate, and enrich data to ensure its accuracy, completeness, and consistency with organizational standards. Add detailed metadata, annotations, and contextual information to data to improve its discoverability and usability. Work closely with data scientists, data engineers, IT, and business stakeholders to ensure the golden set effectively meets analytical and decision-making needs. Qualifications A minimum of 3–5 years of professional experience working in the Content team - Editorial. Language proficiency in Portuguese. Experience in MDP would be an advantage. Exceptional accuracy in handling and processing data. Ability to examine data for quality, identify gaps, and develop strategies to improve data accuracy and value. A strong understanding of the domain of the data being curated to provide appropriate context and meaning. Excellent interpersonal skills to work effectively with different teams and communicate data-related concepts clearly. Ability to work independently and collaboratively within a team. Familiarity with data labeling tools and techniques is preferred. A thorough understanding of metadata and its applications. Good understanding of the global content market. Ready to work in a flexible work environment that requires working with global teams. Additional Information 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 an @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. #J-18808-Ljbffr