Bain & Company Inc

Senior Advanced Analytics Specialist

Job ID
Posted Date
Research & Analysis
Regular Full-Time


  • Bain & Company is one of the world's leading global business consulting firms, serving clients across six continents. It was founded in 1973 on the principle that consultants must measure their success in terms of their clients' financial results. Bain's clients have outperformed the stock market 4 to 1. With offices in all major cities, Bain has worked with over 4,150 major multinational and other corporations from every economic sector, in every region of the world.
  • A career at Bain & Company will provide the opportunity to learn in a collaborative teaming environment, drive impact to support our 'Results' mission statement. The firm has a passionate and rich culture that offers an unparalleled business experience that can carry throughout a career.  We hire dynamic individuals that are dedicated to achieving both personal and professional goals.  To learn more about the firm, please visit


Position Summary

  • The Advanced Analytics Group is a team of experts in primary market research, advanced analytics and data science. The Advanced Analytics Sr. Specialist works with Bain’s consulting teams to provide high quality results for our clients. 
  • The candidate will also work to advance AAG’s and Bain’s analytic and research capabilities and provide training to the consulting staff as needed.
  • This position will be located in Istanbul


Data Sciences

  • Prepare various sources of data using data wrangling methods in R, Python, SQL in infrastructure including AWS, Spark, Hadoop and relational database environments
  • Design machine learning algorithms and techniques like SVM, Random Forests, linear regression, time series analysis, decision trees, survival analysis, ensemble learning, clustering, Bayesian methods
  • Keep abreast of new and current statistical techniques, advanced/real-time analytics, machine learning and data wrangling techniques
  • Where appropriate, work with our clients to deploy solutions into production, including architecting and implementing production data engineering/analytics pipelines


Must haves

  • 5-10 years of experience with statistical analysis and advanced analytics in a business environment without a Master’s Degree, or 3+ years’ experience with a Master’s Degree or Ph.D. in statistics, math, economics or engineering
  • Extensive experience with SQL and either R or Python.
  • Experience in wrangling with large databases (Terabytes) of structured and unstructured data (pictures, text, audio)
  • Experience in machine learning algorithms and techniques like SVM, Random Forests, linear regression, ensemble learning, clustering
  • Experience in applying advanced analytics and data science skills to answers business problems in the space of retail basket analysis, churn and fraud modelling, life time value calculations, root cause analysis, pricing optimizations, retail footprint optimization
  • Strong interpersonal and 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 required
  • Fluent in English and Arabic/Turkish (depending on location)



  • Bayesian modelling
  • GLM modelling
  • Survival analysis
  • Time series forecasting
  • Familiarity with NoSQL data stores is a plus
  • Familiarity with analyzing survey data
  • Text analytics with NLP


Career Opportunity & Application Instructions

  • The Advanced Analytics Group is a cohesive team providing support to consultants working for high profile clients throughout the world.
  • The groups’ expertise is highly leveraged through focused efforts on hundreds of projects across a broad spectrum of applications and industries. Results and recommendations lead to strategic initiatives with huge impact on organization direction and success.



Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
Share on your newsfeed