Data Scientist - Customer Success - job id 33833


Your Way To Work™

Data Scientist - Customer Success

Market $$$ F/T Employee

Midtown NYC, Broadway



How to Apply

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George Konetsky


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(646) 876-9562


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(212) 616-4800 ext-180




A F/T position at the fastest-growing private group of B2B AI companies, backed by a $1 billion commitment to deliver next-generation AI solutions for transforming the enterprise..

Pay Options: F/T Employee.

Contact George Konetsky. call (646)876-9562 / (212)616-4800 ext.180 or email george@sans.com with the Job Code GK33833 or Click the Apply Now button ().

Location: New York.

Skills required for the position: DATA SCIENTIST, MACHINE LEARNING, PYTHON.


Detailed Info:

Highly technical Customer Success Data Scientist, to directly interact with customers in the Financial Services industry to understand and help solve their business problems.

  • Become a master user and advocate of the firm's products and solutions.

  • Serve as a technical and subject matter expert during external communications, enabling sales during the pre- and post- sales efforts.

  • Make scientific contributions while providing thought leadership in publications, speaking opportunities, presentations.

  • Interact and collaborate with engineers and product managers, relaying feedback from customers to continually develop our product.

  • Establish credibility as a conduit for solutions expertise with customers (e.g., positive customer feedback), and is viewed as "trusted advisor" to the customer.

  • Continually builds deep solution, customer, and industry domain expertise by leveraging appropriate resources (internally at the firm and externally with the client).

  • Communicates effectively with clients and team members. Applies a broad knowledge of the product. Become a subject matter expert with the firm's solutions in order to present with credibility


Development/Computing Environment:

  • MS or PhD in quantitative field.

  • 6+ years utilizing Machine Learning in a financial institute or related organization.

  • Solid understanding of statistics and machine learning algorithms.

  • Ability to translate analytic ideas into code using production-quality Python code.

  • Expertise with data science toolkits like scikit-learn.

  • Extremely good problem-solving skills.

  • Use strong software development practices.

  • Ability to travel 30%, or as needed.

  • Anti Money Laundering (AML) or Credit Services experience are plusses.

The position offers competitive compensation package.


Job Id: 33833