Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering. Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia
Requirements:
3-5 years of engineering experience; Expert knowledge of Python and SQL; Proficiency in one or more of R, Java, C++, Scala, Go, Julia. Familiarity with JavaScript Frameworks e.g. React, Vue is a plus; Track record of implementing statistical, machine learning and NLP models, deploying these and maintaining them in production environments; Strong understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
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Lead, Machine Learning Engineer Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering. Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia 3-5 years of engineering experience; Expert knowledge of Python and SQL; Proficiency in one or more of R, Java, C++, Scala, Go, Julia. Familiarity with JavaScript Frameworks e.g. React, Vue is a plus; Track record of implementing statistical, machine learning and NLP models, deploying these and maintaining them in production environments; Strong understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
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