STAFF DATA SCIENTIST

nterprets and applies data analytics to translate business insights into actionable items. Lead product decisions through data and insights; set goals, and identify the right levers to achieve those goals Lead product team in determining intended approach and quantitative methods to develop solution Oversee design experiments to answer targeted questions Identify and drive continuous improvement of key business metrics in assigned business functional area Drive adoption and usage of analytical products and models Translate analytical outputs into business outcomes / value delivered - ability to break complex math into business outcomes Maintain strong business partner relationships to gain cross organization alignment Engage leaders across the organization in maximizing analytical capabilities to drive business optimization Think in terms of iterative development, document, and communicate throughout products data science lifecycle Build and validate models Experience developing custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure analytics deliverables meet stakeholders need Experience developing state of the art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models Experience working directly with cross-functional teams such as leadership, product management, design and engineering Experience using modern analytics tools and languages such as Python, R, Spark, SQL (BigQuery), etc Experience documenting, synthesizing, and communicating results at all levels of the organization Strong problem solving skills with an emphasis on product development Experience proposing rapid experiments to test the effect of new strategies or initiatives, and iterate quickly Experience with OGSM approach - strategy development and execution BS with 5+ years of experience (or MS with 2+ years) in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field Track record of guiding teams through unstructured technical problems to deliver business impact Full stack experience across data science, analytics, and data engineering Masters degree and/or Ph.D. Retail experience Supply chain management Marketing models Logistics experience