Data Scientist - R01524053

About Brillio:

Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance. With delivery locations across United States, Romania, Canada, Mexico, and India, our growing global workforce of over 6,000 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded ‘Great Place to Work’ in 2021 and 2022

Data Scientist

Primary Skills

• Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test

Secondary Skills

• Azure, AWS Development, Azure Data Platform (DaaS), Azure ML, Python, Python automation

Specialization

• Data Science Advanced: Data Scientist

Job requirements

• Sr DS with OR experience and supply chain domain 5 years of experience in building production ready supply chain /operation research solutions Master’s degree or Ph.D. in Statistics / Operation Research or other related fields would be preferable Must have excellent command over various operation research techniques and related approaches such as: Mathematical programming such as Linear/Non-Linear Programming, Mixed Integer Programming, Metaheuristic techniques and Stochastic modelling Quadratic Constrained Programming, SOCP, Genetic Algorithms and Simulated Annealing Convex and Non-Convex optimality Experience in working with open-source (Python and Google's OR) and / or commercial solvers (FICO/Gurobi/CPLEX) Strong Mathematics skills (Statistics, Probability, Algebra etc.) Excellent in Programming Language such as Python Ability to formulate given problem into mathematical representations, Step-wise regularization etc. Working experience in building supply chain models such as: Production planning and Queuing, Inventory Optimization, Resource allocation, Routing optimization, Production planning
  
  

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