<h3>Company Description</h3><h3>Job Description</h3>Position: Lead Data Scientist Job Purpose: As a Lead Data Scientist within the Data Science Methods team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.  Job Responsibilities: <ul><li>Define, plan and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation. </li></ul><ul><li>Prototype solutions and support pilot programs for R&amp;D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization. </li></ul><ul><li>Test-driven development of scalable data processing applications. </li></ul><ul><li>Deliver high quality documentation of new methodologies and best practices. </li></ul><ul><li>Collaborate with experienced Developers, Data Scientists, and Technology engineers. </li></ul><ul><li>Support various Operations team as main users of our solutions. </li></ul><ul><li>Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects. </li></ul><ul><li>Participate in multiple projects simultaneously. </li></ul>Requirements: Essential: <ul><li>PhD degree in Statistics, with outstanding analytical expertise and strong technical skills. </li></ul><ul><li>Extensive experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization. </li></ul><ul><li>High proficiency in Python programming language including data analysis and statistical packages (Pandas, NumPy, Scikit-Learn). Good familiarity with Python standard library, especially unittest and argparse modules. </li></ul><ul><li>Experience with Spark or other big data processing solutions. </li></ul><ul><li>Experience in machine learning. </li></ul><ul><li>Experience with cloud computing and storage (MS Azure preferred). </li></ul><ul><li>Experience with Docker and Linux command line. </li></ul><ul><li>Ability to quickly manipulate, analyze, and interpret large data sources. </li></ul><ul><li>Strong communication/writing skills with good English (working in a remote team with a global footprint). </li></ul>Preferred: <ul><li>Experience in NIQ methodologies, data collection, platforms, research processes, and operations. </li></ul><h3>Qualifications</h3><h3>Additional Information</h3><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul> 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: <a href="https://www.linkedin.com/company/nielseniq/mycompany/">LinkedIn</a> | <a href="https://www.instagram.com/nielseniq/">Instagram</a> | <a href="https://twitter.com/nielseniq">Twitter</a> | <a href="https://www.facebook.com/NielsenIQ.global/">Facebook</a> Our 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: <a href="https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&amp;data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&amp;sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&amp;reserved=0">https://nielseniq.com/global/en/news-center/diversity-inclusion</a>

NielsenIQ

Sr. Data Scientist

NielsenIQ

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