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Data Scientist (Supply Chain Optimization)

Tredence Inc. · United States

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Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to set ourselves apart from our competitors by attracting the greatest talent in the data analytics and data science space. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in building Scalable Big Data Solutions on Onprem/GCP/Azure cloud in a very cost effective and easily scalable manner for our clients. We also come in with some strong IP and pre-built analytics solutions in data mining, BI and Big Data.ELIGIBILITY CRITERIA:Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.8-20 years of experience in data science, building hands-on ML modelsExperience in Retail industry preferred.Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.Knowledge of programming languages SQL, Python/ R, Spark.Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).Experience with cloud computing services (AWS, GCP or Azure)Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testingKnowledge in GPU code optimization, Spark MLlib Optimization.Familiarity to deploy and monitor ML models in production, delivering data products to end-users.Experience with ML CI/CD pipelines.Knowledge and exposure to Gen AI.Required Experience:5+ years in supply chain optimization, retail planning, or inventory managementExperience with MILP (Mixed Integer Linear Programming) or Optimization modelingProficiency in optimization solvers (CPLEX, Gurobi, open-source alternatives)Hands-on experience with demand forecasting, safety stock calculation, or lead-time variability analysisMulti-echelon inventory optimization (MEIO) or network optimization experienceSKU rationalization, assortment planning, or store clustering projectsRetail/merchandise financial planning (OTB, markdown, allocation)Change management and stakeholder communication in complex transformationsKnowledge of retail KPIs (fill rate, turns, markdown %, shrink, service level)Experience with time-phased planning or demand-driven purchasingWHY JOIN TREDENCE?There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision