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Sr. Insights Data Scientist - Operations Reseach Focus

Bain & Company

$109,500 - $150,000
Jul 5, 2025
Boston, MA, USA • Seattle, WA, USA • Houston, TX, USA • Toronto, Ontario, Canada • Washington, DC, USA • San Francisco, CA, USA • Austin, TX, USA • Los Angeles, CA, USA • Dallas, TX, USA • Chicago, IL, USA • New York, NY, USA • Atlanta, GA, USA
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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)