Bain & Company Inc

  • Data Scientist

    Job Location SG-Singapore | CN-Shanghai
    Job ID
    Posted Date
    Research & Analysis
    Regular Full-Time
    Location : Location
  • Overview

    Bain & Company is one of the world's best companies to work for (voted No. 1 on Glassdoor for 2017). Since our radical beginnings as a challenger of the status quo, our formula for success has been simple—create a high-impact, supportive culture where immensely talented people are encouraged to be brilliant at what they do.


    We pride ourselves on hiring the best of the best – we look for people who want to do great things; the learning curve is steep, and the exposure is energizing. Our global offices share a diverse, informal environment where you’ll feel at home, regardless of the city you’re in and you’ll work alongside some of the top people in their field.


    In return we offer a competitive starting salary, bonus and benefits (including laptop, phone, health insurance, lunch & travel contribution as well as non-corporate dress code and state of the art offices).  In addition, your professional development will be taken seriously from day one; you will experience some of the most comprehensive training in the industry.


    Position Summary

    • Our Advanced Analytics Group is a team of experts in data science, advanced analytics, 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.
    • Employ a range of techniques including decision trees, random forests, gradient boosting, clustering, Bayesian methods, neural nets and deep learning technicques.
    • Where appropriate, work with our clients to deploy solutions into production, including architecting and implementing production data engineering/analytics pipelines
    • Prepare various sources of data using data wrangling methods in Python, Spark, Hadoop and/or SQL leveraging infrastructure including Cloud computing solutions and relational database enviroments
    • Keep abreast of new and current 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


    • Proficiency in SQL is required, and familiarity with NoSQL data stores is a plus
    • Proficiency in either Python with numpy, pandas or Scala/Java with ND4S, Breeze or JBlas.
    • Proficiency in either Python with scikit-learn or Scala/Java with Mahout, Weka or MLlib.
    • Proficiency in objected oriented programming and design patterns in either Python or Scala/Java
    • Proficiency with Git and modern software development workflow
    • Familiarity with Linux environments, and setting up and executing machine learning tasks on AWS/Google Cloud/Microsoft Azure
    • Proficiency in data visualization
    • Experience explaining and performing a variety of data science and machine learning techniques
    • Familiarity with computational data structures and algorithms, and computational complexity
    • Examples of domain expertise in which we are interested is: predictive modeling, churn analysis, time series forecasting, computer vision, text mining, recommender systems, market basket analysis, segmentation
    • Familiarity with handling data in JSON and XML formats is a plus.
    • Familiarity with unit testing machine learning algorithms or numerical algorithms is a plus.
    • Experience with Keras, TensorFlow, Theano, MXNet or Caffe2 is a plus.
    • Experience with distributed computing frameworks such as Spark, Flink or Dask is a plus
    • Strong interpersonal and communication skills are a must.
    • Ability to explain and discuss mathematical and machine learning technicalities to a business audience.
    • Must thrive in a fast paced environment and be able to work independently
    • Travel required
    • Fluent in English and Mandarin. Proficiency in Cantonese, Korean or Japanese is a plus.


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