Manager, Data Science Consulting

Ph.D. or equivalent doctoral degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience
6-10+ years of experience in data science, building hands-on Client models
Expertise in client regression, classification, clustering, time series modeling, graph network, recommender system, bayesian modeling, deep learning, computer vision, NLP/NLU, reinforcement learning, federated learning, and 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, and transformers
Experience in the broad application of one or more programming languages such as SQL, Python/ R, Spark, SAS
Expertise in client frameworks and libraries (TensorFlow, Keras, PyTorch)
Experience with cloud computing services (AWS, GCP, or Azure)
Expert in statistical modeling & algorithms (e.g., hypothesis testing, sample size estimation, A/B testing)
Knowledge in mathematical programming, linear programming, mixed integer programming, stochastic modeling Markov chains, Monte Carlo, stochastic simulation, and queuing models
Must have U.S. work authorization

Support data science projects by providing data science expertise (e.g., Python, machine learning, deep learning, neural networks, data visualization, natural language processing (NLP), and recommendation systems)
Contribute to data analytics
Perform data analytics and write up the results, including tables and figures