Manager, Data Science Consulting

Required Qualifications

  • 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

Preferred Qualifications

  • Experience in teaching and research

  • Experience in publishing journals

Location

  • Virtual

  • Contract-based, remote work

  • Work from home

Responsibilities

  • 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

Application

Send your resume to the following email address: info@amstatisticalconsulting.com.

All qualified applicants will receive consideration for employment regardless of race, sex, religion, sexual orientation, gender identity, national origin, protected veteran status, or disability.