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Data Scientist


Bain & Company Inc
Headquarters: Los Angeles, CA
See all Bain & Company Inc jobs →

If you are a Senior Software Engineer with experience, please read on!

Our Advanced Analytics Group is a team of experts in data science, engineering, marketing science, operations research and primary research. You will work alongside Bain’s consulting teams to provide high quality results for our clients, some of the most successful and pioneering businesses in the world.

You will also work to advance AAG’s and Bain’s analytic capabilities and provide training to the consulting staff as needed.

  • Provide data science services to Bain case teams and clients worldwide. You will work with case teams to assess client demands and suggest data science methods that provide practical, value-added answers to the client and case teams.
  • Develop solutions that bring critical insights to wide scale of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and fraud detection.
  • Develop, prototype and test machine learning algorithms on data sets that can range from a few data points to billions.
  • Apply machine learning and statistical techniques including regression models, decision trees, random forests, gradient boosting, support vector machines, clustering and topic models.
  • Prepare various sources of data using data wrangling methods in Python and SQL, leveraging infrastructure including Cloud computing solutions and relational database enviroments
  • Keep abreast of new and current statistical methodologies, machine learning and data wrangling techniques.
  • Where appropriate, train other team members to support the use of data analytics tools and to expand the use of machine learning within Bain
  • Combine domain expertise to perform feature engineering

  • 5+ years of experience with data science and statistical analysis in a business, marketing science or social science environment
  • A Masters’ Degree or Ph.D. in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics or related field is desired
  • Strong background in Statistics and Mathematics
  • Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus
  • Proficiency with data wrangling, visualization, and machine learning in Python is required
  • Experience with other analytical software such as R, SAS or SPSS is a plus
  • Experience with explaining and applying a variety of data science and machine learning techniques