Senior Data Scientist 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. Independently designing analysis plans, and developing underlying data pipelines, models and/or algorithms to solve complex business problems. Create simple, meaningful visualizations to help support data analysis and stakeholder communications Proactively seek out and implement quality and/or efficiency improvements to our existing methodologies and processes, leveraging AI where possible. Develop and share efficient code used for analyses. Incorporate quality checks to proactively detect and correct for errors throughout analysis. Provide clear data-driven recommendations based on research findings that can easily be translated into business requirements. Collaborate with department stakeholders (Product, Operations, Engineering, Data Science, Technology, etc.). This may include providing status updates, developing timelines, sharing data, executing tests, presenting results, supporting user-acceptance testing and monitoring production rollouts to ensure business needs are met. Leading smaller projects, and providing informal guidance to colleagues. Independently designing analysis plans, and developing underlying data pipelines, models and/or algorithms to solve complex business problems. Create simple, meaningful visualizations to help support data analysis and stakeholder communications Proactively seek out and implement quality and/or efficiency improvements to our existing methodologies and processes, leveraging AI where possible. Develop and share efficient code used for analyses. Incorporate quality checks to proactively detect and correct for errors throughout analysis. Provide clear data-driven recommendations based on research findings that can easily be translated into business requirements. Collaborate with department stakeholders (Product, Operations, Engineering, Data Science, Technology, etc.). This may include providing status updates, developing timelines, sharing data, executing tests, presenting results, supporting user-acceptance testing and monitoring production rollouts to ensure business needs are met. Leading smaller projects, and providing informal guidance to colleagues. Solves complex problems by taking a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information Acts as a resource for other team members; may lead projects with limited risks and resource requirements Explains complex, difficult and/or sensitive information; works to build consensus Requires conceptual and practical expertise in core domain and general knowledge of related disciplines Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies 5-10 years of experience, with a track record of independent work Bachelor’s degree or equivalent experience in Mathematics, Statistics, Computer Science, Data Science or a related field Advanced experience in the following areas: Project management including ability to prioritize multiple assignments Manipulating, analyzing and interpreting complex data sources to tell a story from data through analyses Programming in Python, PySpark and SQL for data pipeline development used to support analytics Trending and visualizing data within Tableau or similar BI tools Experience working in cloud-based environments such as AWS 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.