You’ll join our Data Science & Machine Learning Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.
WHAT YOU’LL DO
As a member of the growing Data Science team in Bain’s Insight, AI & Solutions, you will:
Work with consulting teams and clients to understand business problems, translate them into data scienceprojectsand appropriately prioritize and execute
Develop and/or implement tools for data acquisition, extraction, transformation, management, and manipulation of large and complex data sets
Develop, prototype, test, and deploy machine learning solutions on wide ranging types of data sets, ranging from a few data points to billions
Ensure standards and guidelines are being used by team to develop re-usable common frameworks, model and components that address repeatable tasks and problem/data sets in specific industries or business functions
Keep abreast of new and current data science techniques and technologies
Travel isrequired(~3 days every other week)
This position will belocatedeither in Seoul
ABOUT YOU
We are looking for someone who has:
Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Statistics or Information Sciences such as business analytics or informaticsor Relevant Undergraduate Degree with 2+ years of advanced analytics/data science experience
Strong foundationin mathematics and statistics
Strong interpersonal and communication skills, including the ability to explain and discuss mathematical and machine learning technicalities with colleagues and clients from other disciplines
Demonstrated interest in ML/AI/Data Science such as independent projects shared with community (via GitHub etc.) and/or contributions to open-source initiatives
Knowledge of supervised, unsupervised, reinforcement learning machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression,etc.
Proficiency in Python required
Experience with Containers,Dockerand Git
Experience in machine learning frameworks and tools (e.g.scikit-learn,mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK,MLlib) required
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