Love solving complex research problems and analyze their impact on business decisions? We are looking for you!
What you will be doing:
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Take end-to-end ownership of research problems from idea to production
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Build mathematical models of physical world phenomena and analyze their impact on business decisions
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Solve complex data science problems by developing novel algorithms
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Use and develop state of the art machine learning models and algorithms
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Work on compute intense projects which involve large scale distributed pipelines
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Work in a dynamic and diverse environment involving multiple disciplines and domains
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Engage directly with data scientists and engineers’ teams to co-develop solutions for a variety of tasks and projects using different tools and techniques
What we need you to have:
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MSc or a PhD in EE/CS/math/Physics/Stats
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Solid data science research experience of at least 3 years in a data-intensive field (machine learning, NLP, computer vision, signal processing or related)- an advantage
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Deep understanding of at least one of the following domains: machine learning, statistics, information theory, probability, optimization, or signal processing
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Strong knowledge in programming (python, java)
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Track record of excellence
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Good communication and interpersonal skills
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Ability to work independently and in a team in a fast-paced environment
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A can-do approach with a desire to tackle complex problems
