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As the worlds 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 Youll Do
Support Data Science solutions for client request and provide initial recommendation for complex client raised issues.
Support Internal and External Clients with the understanding of Data Science design and methodology.
Accompany senior leaders to meet with clients to understand business needs and help offer innovative solutions.
Work on creating new solutions use cases proof of concept and prototypes by exploring diverse data sets using tools such as Python / R.
Understand NielsenIQ products and services to suggest to new solutions for client challenges.
Collaborate with other Data Science team units.
Automate and develop solutions for existing processes.
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.
Qualifications :
Experience:
Professionals with degrees in Mathematics Data Science Statistics or related fields involving statistical analysis of large data sets.
12 year experience in market research or relevant field.
Soft skills:
Passionate about innovation and technology
ProblemSolving skills
Ability to effectively convey complex concepts to nonexperts
Intellectual curiosity and persistence to find answers to questions
Eager to continuously learn and adapt to changing technologies and tools.
Good command of written and spoken English.
Good collaborative and interpersonal skills to communicate at all levels. (Preferred)
Analytical and Technical skills:
Solid understanding of Statistics.
Strong aptitude for data analysis.
Critical / logical thinking.
Familiar with programming language such as Python/R.
Familiar with contemporary database systems.
Additional Information :
Optional Qualification
Working knowledge with data visualization tools (e.g. Spotfire Tableau etc.) and mapping tools.
Working knowledge with collaboration tools such as Google Suite(Google site Google Data Studio) Atlassian Git Bitbucket and Confluence.
Familiar with Machine Learning
Familiar with marketing analytics including designing experiment and consumer behavior analysis
Our Benefits
About NIQ
NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through stateoftheart platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.
For more information visit NIQ.com
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Our commitment to Diversity Equity and Inclusion
NIQ is committed to reflecting the diversity of the clients communities and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce measurement and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative ActionEmployer making decisions without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability status age marital status protected veteran status or any other protected class. Our global nondiscrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:
Remote Work :
No
Employment Type :
Fulltime
Full-time