Assistant Vice President, Data Science Greater New York City, NY Area
Reveal this information
Enter your email to continue
Welcome back!
We're having trouble finding your sign-in details. Please try again later.
Having a resume & LinkedIn profile that stands out is important when applying to opportunities.
As an ExecThread Member you can check out our Executive Branding service to help you optimize your resume, cover letter & LinkedIn profile. Click here to learn more.
Shoot! There seems to be an error when submitting your resume to TopResume. If you continue experiencing issues submitting your resume please let us know.
As an ExecThread Member you can check out our Executive Branding service to help you optimize your resume, cover letter & LinkedIn profile. Click here to learn more.
About the Role
Greater New York City, NY Area (Hybrid)(New York City, New York)
The Company is seeking a Senior Data Scientist to join its global Data Science team. The successful candidate will be a key partner to U.S. product users and business stakeholders, proactively understanding customer needs, the use of analytical products, and opportunities for product enhancements. This role requires the ability to translate business and customer needs into technical requirements and practical data science, machine learning, and AI solutions. The Senior Data Scientist will lead the end-to-end implementation of machine learning and AI use cases, develop and support machine learning solutions for AI-driven transaction monitoring and wealth management analytics, and work with a global team to deliver efficient solutions in response to evolving product, business, and regulatory needs. Applicants for the Senior Data Scientist position at the company should have a Bachelor’s degree in a relevant quantitative discipline or equivalent experience, with a strong foundation in machine learning, statistics, and analytical problem-solving. Hands-on experience in developing applied data science or machine learning solutions using Python and SQL is essential, as is a demonstrated ability in product thinking and stakeholder management. The role also requires experience in developing, testing, deploying, or supporting machine learning solutions in a production environment, and the ability to leverage AI tools responsibly. Experience with cloud platforms, generative AI, and in financial services or regulated environments is a plus. The ideal candidate will have a proactive, consultative approach to collaboration, innovation, and continuous learning.
Functions:
- Data Management/Analytics
About the Company
Leading international bank & financial services firm
Industry
Financial Services
Type
Public Company (DB)
Age
employees
10,001+
Having a resume & LinkedIn profile that stands out is important when applying to opportunities.
As an ExecThread Member you can check out our Executive Branding service to help you optimize your resume, cover letter & LinkedIn profile. Click here to learn more.
The listing you are looking for is no longer accepting applications.
Click here to view other opportunities.
Reveal this information
Enter your email to unlock hidden details
Welcome back!
We're having trouble finding your sign-in details. Please try again later.