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 current 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 Define plan and execute analyses regarding innovation initiatives methodology development standards and KPIs development and implementation Prototype solutions and support pilot programs for R D purposes including trend analyses representation sampling bias reduction indirect estimation data integration automation and generalization Test-driven development of scalable data processing applications Deliver high quality documentation of new methodologies and best practices Collaborate with experienced Developers Data Scientists and Technology engineers Support various Operations team as main users of our solutions Engage with stakeholders on scope execution data exchange and outcomes for assigned projects Participate in multiple projects simultaneously Machine Learning Artificial Intelligence Machine Learning Knowledge of various algorithms and their appropriate application for prediction and classification Deep Learning Understanding of neural networks and deep learning frameworks like TensorFlow and PyTorch Data Visualization Presentation Data Visualization The ability to create clear and compelling charts and graphs using tools like Tableau Power BI or Matplotlib to communicate findings to stakeholders Databases Cloud Database Management Proficiency with both SQL and NoSQL databases like MongoDB for data storage and retrieval Cloud Computing Experience with cloud platforms such as Amazon Web Services AWS Microsoft Azure and Google Cloud Qualifications Requirements Essential PhD degree in Statistics with outstanding analytical expertise and strong technical skills Extensive experience in trend analyses multivariate statistics parametric non-parametric sampling bias reduction indirect estimation data aggregation techniques automation and generalization 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 Experience with Spark or other big data processing solutions Experience in machine learning Experience with cloud computing and storage MS Azure preferred Experience with Docker and Linux command line Ability to quickly manipulate analyze and interpret large data sources Strong communication writing skills with good English working in a remote team with a global footprint Preferred Experience in NIQ methodologies data collection platforms research processes and operations Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program EAP About NIQ NIQ 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 TM 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 com Want to keep up with our latest updates Our commitment to Diversity Equity and Inclusion At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve We believe that embracing a wide range of perspectives drives innovation and excellence All employment decisions at NIQ are made without regard to race color religion sex including pregnancy sexual orientation or gender identity national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact To learn more about our ongoing efforts in diversity and inclusion please visit the https nielseniq com global en news-center diversity-inclusion