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Posted 136 months ago

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Senior Data Scientist (Machine Learning & Classification)

Marlborough, MA, United StatesRemote

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Senior Data Scientist (Machine Learning & Classification) Please, review and apply for this position through the QCI system following the link below (Copy and Paste):http://bit.ly/1EE8v7z*You can apply through Indeed using mobile devices with this link.

About this role

Senior Data Scientist (Machine Learning & Classification)

Please, review and apply for this position through the QCI system following the link below (Copy and Paste):

http://bit.ly/1EE8v7z

*You can apply through Indeed using mobile devices with this link.

Our established consumer products company is looking for a Senior Data Scientist (Machine Learning & Classification)to add to their growing Research & Advanced Development team. You will work on feature concepts that arecustomer-facing.

Responsibilities of the Senior Data Scientist (Machine Learning & Classification):

Responsible for the algorithms that underlie the experiences created.

Willingness to write code to explore problems and understanddata, and your ability to implement solutions from scratch.

Implement and test initial versions of a handful of (already imagined) feature concepts.

Demonstrate end-to-end proof of concept of at least one customer-facing feature.

The ideal candidate will have experience with APIs, DSP, and Machine Learning

Requirements for the Senior Data Scientist (Machine Learning & Classification):

Deep expertise in the fundamentals and practical application of Machine Learning

MS or Ph.D in computer science or related field

Demonstrated ability to work effectively in a cross-functional team

Strong coding ability (language and tool agnostic) but your algorithms must be able to run at scale.

Experience creating customer-facing feature concepts.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste):

http://bit.ly/1EE8v7z

*You can apply through Indeed using mobile devices with this link.

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