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Bain's Insights Data Science and Operations Research team within Bain's AI, Insights & Solutions team needs to work with consulting teams and clients on a wide variety of business problems, translate business objectives into data science solutions, and use advanced data science and OR methods and tools to generate business insights and recommendations.

Requirements

• Deep math, statistical, and data science foundations, including knowledge of probability distributions, linear models and extensions, unsupervised dimensionality reduction, clustering, and tree-based methods.
• Proficiency in common data science computer programming languages and their common ML packages/libraries (Python required)
• Foundational understanding of combinatorial optimization modeling (particularly mixed integer programming) and heuristic algorithm development (such as genetic algorithm, simulated annealing, etc.). Familiarity with any optimization modeling languages/solvers (e.g. Gurobi, Xpress, Cplex, GAMS, AMPL, etc.).
• Interest in (preferably experience in) in Supply Chain advanced analytics applications, e.g. optimizing supply chain network, inventory, manufacturing, distribution, logistics, and other operations topics
• Strong data ETL skills, at least moderate skills with SQL required
• Good skills in data visualization and visual communication (e.g. PowerPoint slides)
• Strong abilities in problem definition and problem solving skills

Responsibilities

• Work with consulting teams and clients on a wide variety of business problems, translate business objectives into data science solutions
• Use advanced data science and OR methods and tools to generate business insights and recommendations
• Work with a wide variety of data science techniques and applications with special emphasis on working with and learning from Operations Research experts to support a broad range of operations research and optimization modelling applications – e.g. supply chain, logistics, manufacturing, workforce, and spend optimization
• Perform on large data projects including data requests and ETL in preparation for analyses and modelling
• Conduct EDA and build out ML models that generate business insights or can be used as a prototype to guide business decisions
• Build and validate data, simulation, and optimization models that diagnose supply chain problems, identify best or optimal solutions, and advance proficiency in OR tools and techniques
• Share learnings and drive adoption of best demonstrated practices with your teammates in AAG about developments in the rapidly evolving data science field

Other

• We are looking for someone who has: A Master’s degree or equivalent in Math, Statistics, Industrial Engineering, Operations Research, or Data Science – will also consider undergrad degree with 2+ years of relevant work equivalence
• Excellent oral and written communication skills are a must
• Must be able to discuss technical issues with a non-technical audience
• Must thrive in a fast-paced environment and be able to work independently
• Travel is required (~3 days every other week)