Bain & Company is one of the world's leading business consulting firms. We work with top executives to help them make better decisions, convert those decisions to actions, and deliver the sustainable success they desire. For forty years, we've been passionate about achieving better results for our clients—results that go beyond financial and are uniquely tailored, pragmatic, holistic, and enduring.
We advise global leaders on their most critical issues and opportunities: strategy, marketing, organization, operations, technology and mergers & acquisitions, across all industries and geographies.
We've worked with the majority of the Global 500, thousands of major regional and local companies, and private equity funds representing 75 percent of global equity capital. We are proud of our clients' track record, like the fact that our public clients have historically outperformed the stock market 4 to 1.
Provide data science and analytic consulting expertise to Bain case teams and clients worldwide. Work with case teams to assess data needs, propose analytical solutions, and conduct analysis to provide practical, value-added answers to the client and case teams. Recommend and explain analytical techniques appropriate for targeting and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and territory optimization. Work with consultants and clients to extract very large data sets from client and third party sources (structured and unstructured) and then transfer and load the data onto Bain data management servers. Facilitate data merging and transformation in preparation for analysis by planning the process and either executing directly or training consultants to implement directly. Conduct advanced analyses by explaining and performing a variety of statistical, data mining, and machine learning techniques, such as latent class and other clustering techniques, maximum difference scaling, multivariate and logistic regressions, decision trees (e.g. CHAID/CART), random forests, survival models, gradient boosted trees, and neural networks. Train and coach consultants on basic analytical procedures. Keep abreast of new and current data science techniques in both data engineering and machine learning. Provide training, documentation and other assistance to Bain’s consulting staff to support and expand the use of data preparation, analytical modeling, and visualization tools. Up to 20% of travel required.
The position requires a Master’s degree (or foreign equivalent) in Statistics, Mathematics, Economics, Engineering, or a related field plus three (3) years of experience in the offered role or in another related position. Must have experience in data science and statistical analysis in a business, market research, or social science environment. Experience must involve: R, Python, SPSS, or SAS; experience explaining and performing a variety of statistical, data mining, and machine learning techniques including at least four (4) of the following: latent class clustering, multivariate regressions, discrete choice models, decision trees, random forests, survival models, agent-based models, geo-spatial analysis, simulations, gradient boosted trees, or neural networks; experience in preparing and analyzing large datasets using data management tools like SQL or Spark; experience in visualizing large datasets and building interactive dashboards. Travel and work at client sites as assigned. Up to 20% of travel required.