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Vice President, Data Science

Confidential
Confidential Salary
New York, NY Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 6/3/2025

Vice President, Data Science

About the Company

Revolutionary fintech company

Industry

Financial Services

Type

Privately Held

About the Role

The Company is seeking a Data Science Vice President to lead the strategic development and execution of data science initiatives. The successful candidate will be responsible for defining and executing the company's data science roadmap, with a focus on driving business growth, improving operational efficiency, and enhancing customer experience through the use of data. This role involves partnering with cross-functional teams to understand business requirements, driving the development of advanced machine learning models, and establishing best practices for data science methodologies. The Data Science Vice President will also be expected to stay current with the latest advancements in data science and collaborate with external partners to maintain a competitive edge. Applicants for the Data Science Vice President position at the company should have an advanced degree in a relevant field and a minimum of 8-15 years' experience in developing and deploying advanced analytics and machine learning solutions. Deep expertise in machine learning algorithms, statistical modeling, and data mining techniques is essential, as is hands-on experience with programming languages such as Python or R. The role requires the ability to translate data insights into actionable recommendations, communicate complex technical concepts to non-technical stakeholders, and influence decision-making at all levels of the organization. Experience in the fintech industry or financial services sector is preferred, along with a strong understanding of financial products, markets, and regulatory requirements. The ideal candidate will also have a proven track record of leading and mentoring a team of data scientists.

Travel Percent

Less than 10%

Functions

  • Data Management / Analytics

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