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The preferred man/machine interface for tomorrow’s professional

Data science/Machine Learning Architect

$70k – $100k • 1.0% – 3.0%
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We are looking for a Data science/Machine Learning Architect, ideally with big data analytics, topic maps and Bayesian modeling experience, responsible for developing a set of scalable knowledge discovery classifiers and a data analytics toolkit.

• Demonstrated experience (publications, projects) solving large-scale machine learning, big data analytics, advanced Bayesian statistical modeling, and/or IR problems using Python, Tensorflow, etc.

• PhD (or near graduate) in EE/computer science, applied math, econometrics, physics, neuroscience, cognitive science, linguistics or comparable science background, from a top tier university (Berkeley, CMU, Columbia, Imperial, MIT, Stanford, UofT, UW) with specialization in machine learning, topic models, NLP, deep learning, or related areas. Alternatively, co-published/advised by an internationally renowned professor or tell us another convincing story of exceptional achievement.

• Thorough understanding of the business context, strategy and knowledge needs, particularly in the finance, tech, and life science industries is desired, but not required

The successful candidate would start as a part-time consultant (15-40%) and would be evaluated for the employee track including with potential for (significant) stock options after 2-6 months, should that be mutually desirable.

Yegii at a glance

The preferred man/machine interface for tomorrow’s professional

Yegii focuses on Energy, Knowledge Management, Finance Technology, and Corporate IT. Their company has offices in Cambridge and Wellesley. They have a mid-size team that's between 51-200 employees.

You can view their website at http://yegii.com/ or find them on Twitter, Facebook, and LinkedIn.

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