Sr Data Scientist

Being 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. Responsibilities Translate Clients' requirements to actionable solutions or products Ideate 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 needs Test 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 processes Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it Evaluating potential solutions' fit vs product requirements Refine and enhance product features Maintain data integrity and quality throughout the development lifecycle Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning. Guide other more junior data scientists along the projects Qualifications Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background 5+ years of experience in data science/analytics related product development and/or data solutions development Vast 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. Proficient in Python and its most common data science libraries. Experience with cloud computing and storage, ETL, experience with Big Data handling (through Spark, Dask, Hadoop or other; e.g. in DataBricks in Azure, AWS etc.), basic administration of a LINUX virtual machine. Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec. #J-18808-Ljbffr