.In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, we're always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer.Job DescriptionBeing a Sr Data Scientist in the Methods division of the Data Science team, you will play a critical role in developing the next generation of retail measurement 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. From ideation through Proof Of Concept and experimenting for methodological development, to output visualization and "Go to Market" strategy, you'll be learning and exploring the newest technologies & applications for data architecture, and data modelling solutions. You'll work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation.ResponsibilitiesTranslate Clients' requirements to actionable solutions or productsIdeate and develop solutions for estimating unknown data for the product innovation pipeline.Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needsTest and optimize those models. Fine tune parameters and iterate.Adapt and plan implementation of these models to current production platform, guiding their iteration with other production processesDocument the solution and experimentation to arrive to it, and create specifications for Technology team to productionize itEvaluating potential solutions' fit vs product requirementsRefine and enhance product featuresMaintain data integrity and quality throughout the development lifecycleRead, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning.Guide other more junior data scientists along the projectsQualificationsBachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background5+ years of experience in data science/analytics related product development and/or data solutions developmentVast knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Monte Carlo simulations, etc
