Job DescriptionBeing a Data Scientist in the Product Data Science, you will play a critical role in developing the next generation of solutions we offer our clients, powered by algorithms and AI and leveraging large volumes of internal data, client data and third-party data.You'll be actively participating with other team members in the overall Product creation process.
You will be participating with other team members in the overall Product creation process.
You'll work alongside a group of talented individuals with different areas of expertise including best in class data scientists.On a daily basis you'll be expected to:Read, write, comment, maintain, enhance, and share legible, well documented, and quality computer code translated from technical specification to fulfill product requirements.Adapt and plan implementation of statistical and analytical models (including ML/AI approaches) to production platform, guiding their integration with other production processes.Maintain data integrity and quality throughout the development lifecycle.Actively participate in Agile workflows with the broader team which incQualificationsBachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field requiring outstanding analytical expertise and strong technical background3+ years of experience in data science/analytics/software engineering related product development and/or data solutions developmentKnowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Neural Networks, etc.Ability to prototype as well as support pilot programs for R&D purposes.
The primary areas include – but not limited to – trend analyses, identifying gaps for improvements in coverage, representation/sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization as well as working with different data sources.Proficient in Python, SQL, Statistical packages (scipy, sklearn, statsmodels, etc), and version control (Github).Proficient in English languagePreferred:Experience with Cloud computing, ETL, advanced data processing techniques (Spark, pySpark, Hadoop, etc)Additional InformationOur BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)About NIQNIQ is the world's 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 insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™.
NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionNIQ 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 Action-Employer, 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 non-discrimination 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: >