Senior Data Scientist

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior Data ScientistFull-timeJob DescriptionAbout the jobYou will work with a global team dedicated to the development of new methodologies for Retail Establishment Survey & other data collection processes. We are looking for someone in our methods team to be part of these transformational initiatives to improve quality and redefine the process of RES design and Universe Estimation leveraging advanced technologies, integration of data sources, Machine Learning techniques, statistical and data analytical skills. You should have a passion for innovation, Research & Development and challenging data opportunities! ResponsibilitiesOwn & lead evaluating & improvising the methodologies developed to improve quality of RES Designs and transforming Universe Estimation process involving Machine Learning & Statistical techniques.Research new methodologies, research directions and quantify their improvementDeliver methodological enhancements improving overall quality & process efficiencies.Work closely with different teams such as technology, other Data Science teams, internal stakeholders during development & deployment of new methodologies.Prototype as well as support pilot programs to drive innovation.Owns and maintains Data Science global methodologies and ensures they are well documented and understood.Asks questions to engage & motivate team on seeking further understanding of data.Reviews the progress of projects and POCs and proposes improvements and constructive critiques.  QualificationsMaster’s / Doctorate Degree in Data Science, Mathematics, Statistics or Engineering degree in Computer Science, Data Science or related fields involving statistical analysis of large data setsAt least 5 years’ of relevant experienceExhibits a solid understanding of FMCG Industry for specific core process and Advanced knowledge of RMS systems/products.Experience in designing studies/samplingComfortable designing solutions and supporting a team to execute Displays innovative thinking, data analytical skills, application of statistical techniques and encourages. experimentation in delivery of work.Can support others to understand and apply more complicated technical principles & methodologies, creating clarity and focus for teams to deliver.Domain expert knowledge of the following: programming, statistical analysis / machine learning/deep learning, time series, samplingExperienced in Python programming, machine learning and working with queries and large-scale databasesPreferable knowledge of geospatial data and techniquesAble to work in virtual environment and familiar with git/Bitbucket processesDrive to continuously learn and adopt new technologies and toolsStrong communication, presentation and collaboration skillsAdditional InformationOur BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee-Assistance-Program (EAP)NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQNIQ is the world’s leading consumer intelligence company, delivering the most...