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Customer Facing Data Scientist - NYC - FULLY REMOTE 
(Job)

adzuna-us  |  United States  |  

Ref:
ADZUNA-US-ECKA7
Direct:
Employer:
Location:
United StatesMt Hope Dr, NY, 12202
Category:
Management/Management
Work Type:
Permanent
Work Time:
Full Time
Tags:
job,united-states,adzuna

Description 

Customer Facing Data Scientist - New York City - FULLY REMOTE Location: New York, NYTechnology: Cloud Big Data [Azure or AWS] Job Type: Full Time PermanentDate Posted: August 7th, 2019My client, a leader in the Data Science, AI and Machine Learning industry, is looking for multiple Customer Facing Data Scientists (CFDSs), which are critical to making our customers successful.

An ideal CFDS candidate should have strong fundamentals of applied data science in business setting, and should enjoy communicating and evangelizing data science solutions to business stakeholders.Role & Responsibility:Representing the product from a technical standpoint to customers - including demonstrations, conducting proof-of-concept trials, helping clients evaluate success criteria, and training usersProviding the customer's point of view to the Product team, informing the direction of future product feature developmentEnabling customers to solve complex data science problems using the product - including problem framing, data preparation, model building, model deployment, model management, and output consumptionIn some cases, executing data science workflows for customersProviding data science knowledge and expertise as a trusted advisor to the clientConducting and managing data science projects with customer's vision of success in mindCollaborating with Sales, Field Engineers, and the rest of the team to identify the best possible resources to move forward customer's projectsUnderstanding and empathizing with customers' pain points of building AI solutionsQualifying opportunities where the organization can be a suitable fit and thus making us more efficientPresenting our product in industry conferences as well as creating powerful technical content for marketing purposesMain Requirements:Real-world business experience in a data science roleHands-on experience building and implementing predictive models using machine learning algorithmsStrong customer interaction experienceStrong project management skillsExcellent organizational, communication, writing and interpersonal skillsFamiliarity with a variety of technical tools for the manipulation of datasetsFluency with scripting (Python / R)Experience with Spark and PySparkGoing onsite to customer locations in New York City and the broader Tristate area.Desired Skills:Familiarity with consultative sales process in the analytics marketplaceFamiliarity with Hadoop and related Big Data technologiesAny Cloud background, we currently operate on top of an AWS platform, however Azure or GCP professionals are highly valued and welcome for this role as wellExperience dealing with complex customer organizationsDeep experience with specific industries (e.g.

banking, healthcare, insurance) or specific problem types (e.g.

time-series, optimization) Benefits: Unlimited PTOGym MembershipUber MembershipRegular in-office social events, happy hours, etc.401K match program (5%)Health/Medical/Dental benefitsOpen vacation policyFULLY REMOTEIf you or someone you know is interested in this position, please send your resume directly to b.tothnigelfrank.com or call (Brittany Toth) 212-731-8282.

My client is looking to start the interview process as soon as possible.

Nigel Frank International is the global leader for Microsoft recruitment, advertising more Azure roles than any other agency.

We deal with both Microsoft Partners & End Users throughout North America.By specializing solely in placing candidates in the Azure market, I have built relationships with most of the key employers in the Greater New York area and have a complete understanding of where the best Azure Data & Data Science opportunities are.Job SummaryLocation: New York, New York Salary: $140000 - $190000 per annum 401K, Health, Dental, Vision, PTOTechnology:Microsoft Azure Jobs Job Type:Permanent Date Posted:7th Aug, 2019 Reference:08072019BT2