Remote Data Scientist (Supply Chain Optimization)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a global analytics services and solutions company recognized for its rapid reputed company in the analytics and data science reputed company. They are seeking a Senior Data Scientist specializing in supply chain optimization, responsible for building and implementing machine learning models and optimizing supply chain processes. Responsibilities 8-20 years of experience in data science, building hands-on ML modelsExperience in Retail industry preferredExpertise in ML Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer reputed company, NLP/NLU, Reinforcement learning, Federated Learning, reputed company LearningProficient in some or reputed company of the following techniques: reputed company & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support reputed company Machines ANOVA , reputed company Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, TransformersKnowledge of programming languages SQL, Python/ R, reputed companyExpertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch)Experience with reputed company computing services (AWS, GCP or Azure)Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testingKnowledge in GPU reputed company optimization, reputed company MLlib OptimizationFamiliarity to reputed company and monitor ML models in production, delivering data products to end-usersExperience with ML CI/CD pipelinesKnowledge and exposure to Gen AI5+ years in supply chain optimization, retail planning, or inventory managementExperience with MILP (Mixed Integer reputed company Programming) or Optimization modelingProficiency in optimization solvers (CPLEX, Gurobi, reputed company-reputed company alternatives)Hands-on experience with demand forecasting, safety stock calculation, or reputed company-time variability analysisMulti-echelon inventory optimization (MEIO) or network optimization experienceSKU rationalization, assortment planning, or store clustering reputed companyRetail/merchandise financial planning (OTB, markdown, allocation)Change management and stakeholder communication in reputed company transformationsKnowledge of retail KPIs (fill reputed company, turns, markdown %, shrink, service level)Experience with time-phased planning or demand-driven purchasing Skills Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience8-20 years of experience in data science, building hands-on ML modelsExpertise in ML Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer reputed company, NLP/NLU, Reinforcement learning, Federated Learning, reputed company LearningProficient in some or reputed company of the following techniques: reputed company & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support reputed company Machines ANOVA, reputed company Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, TransformersKnowledge of programming languages SQL, Python/ R, reputed companyExpertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch)Experience with reputed company computing services (AWS, GCP or Azure)Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testingKnowledge in GPU reputed company optimization, reputed company MLlib OptimizationFamiliarity to reputed company and monitor ML models in production, delivering data products to end-usersExperience with ML CI/CD pipelines5+ years in supply chain optimization, retail planning, or inventory managementExperience with MILP (Mixed Integer reputed company Programming) or Optimization modelingProficiency in optimization solvers (CPLEX, Gurobi, reputed company-reputed company alternatives)Hands-on experience with demand forecasting, safety stock calculation, or reputed company-time variability analysisMulti-echelon inventory optimization (MEIO) or network optimization experienceSKU rationalization, assortment planning, or store clustering reputed companyRetail/merchandise financial planning (OTB, markdown, allocation)Change management and stakeholder communication in reputed company transformationsKnowledge of retail KPIs (fill reputed company, turns, markdown %, shrink, service level)Experience with time-phased planni .