Senior Data Scientist I at TheNielsenCompany

• 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.