As the world's largest research organization, NielsenIQ is powered by talented creative scientists. Our Data Scientist associates come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering, physics and demography. These professionals drive innovation, new product ideation, develops complex analysis and delivery of data insights to measure what consumers buy.What You'll Doxe2x9exa2 Support Data Science solutions for client request and provide initial recommendation for complex client raised issues.xe2x9exa2 Support Internal and External Clients with the understanding of Data Science design and methodology.xe2x9exa2 Accompany senior leaders to meet with clients to understand business needs and help offer innovative solutions.xe2x9exa2 Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python / R.xe2x9exa2 Understand NielsenIQ products and services to suggest to new solutions for client challenges.xe2x9exa2 Collaborate with other Data Science team units.xe2x9exa2 Automate and develop solutions for existing processes.xe2x9exa2 Support or participate in Innovation initiatives to create out of the box solutions by leveraging large and diverse data sets and state of the art technologies.Qualificationsxe2x9exa2 Professionals with degrees in Mathematics, Data Science, Statistics, or related fields involving statistical analysis of large data sets.xe2x9exa2 1-2 year experience in market research or relevant field.Soft skills.xe2x9exa2 Passionate about innovation and technologyxe2x9exa2 Problem-Solving skillsxe2x9exa2 Ability to effectively convey complex concepts to non-expertsxe2x9exa2 Intellectual curiosity and persistence to find answers to questionsxe2x9exa2 Eager to continuously learn and adapt to changing technologies and tools.xe2x9exa2 Good command of written and spoken English.xe2x9exa2 Good collaborative and interpersonal skills to communicate at all levels. (Preferred)Analytical and Technical skills:xe2x9exa2 Solid understanding of Statistics.xe2x9exa2 Strong aptitude for data analysis.xe2x9exa2 Critical / logical thinking.xe2x9exa2 Familiar with programming language such as Python/R.xe2x9exa2 Familiar with contemporary database systems.Optional Qualificationxe2x9exa2 Working knowledge with data visualization tools (e.g. Spotfire, Tableau, etc.) and mapping tools.xe2x9exa2 Working knowledge with collaboration tools such as Google Suite(Google site, Google Data Studio), Atlassian, Git, Bitbucket and Confluence.xe2x9exa2 Familiar with Machine Learningxe2x9exa2 Familiar with marketing analytics, including designing experiment and consumer behavior analysis.Additional InformationOur Benefits
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