ABOUT US :
Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 59 offices in 37 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries.
We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster and more enduring outcomes.
Our 10-year commitment to invest over $1 billion in pro bono services brings our talent, expertise and insight to organizations tackling today’s urgent challenges in education, racial and social equity, economic development and the environment.
Since our founding in 1973, we have measured our success by the success of our clients. We proudly maintain the highest level of client advocacy in the industry, and our clients have outperformed the stock market 4-to-1.
POSITION SUMMARY :
This is an opportunity to be a key member of Bain’s expanding advanced analytics capability area. This position will be part of the Advanced Analytics Group (Bain’s team of advanced analytics and primary research experts).
The role will involve advising on the application of forecasting, planning, simulation, and optimization to solve clients’ challenges;
leading the implementation of Management Science / Operations Research techniques within the Advanced Analytics Group; and coaching client-facing consultants on implementation, interpretation, and communication of solutions.
Applications will be broad and global including supply chain and logistics, inventory and resource planning, manufacturing and retail, network and service operations, and marketing and sales.
WHAT YOU'LL DO :
Apply best practice statistical, simulation, optimization, and prescriptive analytics to management and operations problems.
If candidate has strong analytic / statistic foundation, willing to train on the broader range of Advanced Statistical toolkit as needed (e.
g. customer and marketing analytics, data sciences, etc.)
Work with Bain consultants and Advanced Analytics experts to clarify and define business objectives and identify practical value-added analytics solutions
Translate business problems into practical solutions for statistical analysis, simulation and optimization. Develop data requirements and analytics plan to fit time, tool and budget considerations
Formulate statistical, mathematical and / or simulation models including : establish the appropriate framework, set constants and variables, evaluate and set assumptions, define stochastic processes, determine alternatives and decision factors, define objectives and constraints.
Implement, evaluate and validate algorithms, statistical processes, and optimization and simulation models.
Identify and communicate insights; model processes and functions; limitations and risks. Assist client-facing consultants in developing recommendations.
Advise or build visualization and decision support tools to facilitate use of algorithms by clients in day to day and strategic decisions after Bain projects end.
Train and coach consultants on basic statistical, optimization, and simulation procedures. Assist in knowledge transfer and deployment with end-clients.
Train and coach other AAG colleagues on skills, processes and tools required so support OR, Optimization, Simulation, and Forecasting related work.
Stay abreast of developments in the field and continue to advance Bain capabilities to serve clients. Identify trends in Data Science and Digital that will impact Bain and AAG work and help bring those perspectives to the AAG team and Practice leaders.
The person in this role will need the ability to :
Communicate effectively with analytics / data experts, business leaders, and executives inside and outside of Bain to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors;
Translate business objectives into data and analytics solutions using appropriate data, analytics, simulation and optimization applications.
Design, execute and direct management / operations analytics, forecasting, optimization and simulation projects.
Think creatively and adapt to novel applications and new business contexts
Collaborate with people at all levels and with multi-office / region teams.
Communicate with and educate both senior and junior colleagues to further embed management science and operations analytics across the firm;
ABOUT YOU :
We are looking for someone who has :
Excellent oral and written communication skills a must.
Fluent in both Spanish and English
Strong skills in scoping, problem definition and problem solving under time constraints
Master’s degree or higher in a related discipline such as Industrial Engineering, Operations Research, quantitative Management Science, Statistics, Mathematics, or Computer Science (or equivalent work experience)
Strong skills in data engineering (e.g. SQL, R, Python).
Familiarity with a variety of operations analytics applications including supply chain and logistics, inventory and resource planning, manufacturing and retail, network and service operations, and marketing and sales.
Expertise in Optimization techniques and languages and experience in formulating and implementing optimization solvers, linear, integer, non-linear.
Able to reformulate complex problems into more tractable solutions, including use of heuristic algorithms. Familiar with advanced optimization modelling languages, e.g. Gurobi, CPLEX
Familiarity with dynamic, discrete event, and stochastic simulation methods and languages.
Familiarity with time series and forecasting techniques.
Must thrive in a fast paced environment and be able to work independently.
Up to 50% travel required.
Ability to work in Mexico is required & ability to work in the U.S. is desirable
Ideal candidates will also have experience in :
Expertise in statistical modelling, data science and machine learning applications.
Experience in risk modelling and building decision support tools
Strong skills in multi-dimensional modelling and enterprise, ERP / MRP databases, e.g. Hyperion, Oracle, SAP, EPC, etc.
Experience with advanced simulation modelling and tools. May include Excel based modelling applications and simulation / solver add-in solutions, e.
g. Oracle Crystal Ball and Optquest, Lindo What’s Best, or Frontline Solvers (optional). May include simulation tools and languages eg.
SAS / OR, Lindo, AIMMS, AnyLogic. Optional experience with application specific software e.g. Llamasoft (supply chain) or Terralign (Sales Territory)
Expert in advanced time series modelling techniques for forecasting short term, mid-term and long term demand and resource requirements, e.
g. inventory, demand, workforce management
Experience with VBA and SAS / OR. Optional experience with C, C++, Java.