About the RoleIn this role you are responsible for the design development programming methods processes and systems to consolidate and analyze unstructured diverse big data sources to generate actionable insights and solutions for businesses across the company. You will support the team in building data and analytics capabilities to enhance the analytical platform partnering with Global Technology Solutions Product and business teams to advance retail forecasting across the organization.What Youll DoDesign develop and deploy enterprise planning or decision-support systems forecasting in retail consumer marketplace or supply-chain domains that support multi-horizon planning and scenario evaluation.Expertise in Time series forecasting hierarchicalaggregated forecasting reconciliation concepts seasonality and multi-horizon evaluation.Develop software programs algorithms and automated processes that cleanse integrate and evaluate large data sets from multiple disparate sourcesManipulate large amounts of data across a diverse set of subject areas collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocolsBuild validate and maintain AI Machine Learning ML Deep learning models diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysisCreate measurement strategies for accuracy bias stability and business outcomes run back tests and controlled experiments where feasible.Advanced proficiency in Python Spark and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments such as Azure GCP environmentsCommunicate meaningful actionable insights from large data and metadata sources to stakeholdersCollaborate with others in key initiatives and their implementationResponsible for planning budget and end results set policies and strategic direction for areateamWho You AreExperience with ML and classical predictive techniques such as logistic regression decision trees non linear regressions ANNCNN boosted trees SVM Tensorflow visualization packages and a track record for creating business impact with these methodsExperience in econometric demand modeling and prescriptive analytics including elasticity promo lift Bayesian methods and optimization-based decision modeling.Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for changeAbility to collaborate with cross functional teams and influence product and analytics roadmap with a demonstrated proficiency in relationship buildingEvaluate sometimes complex situations using multiple sources of information internal and external sourcesAble to filter prioritize analyze and validate potentially complex In-depth understanding of concepts and procedures within own subject area and understanding of procedures and concepts in other areas