Confidential
Vice President, Data Science
Confidential - New York, New York, us, 10261
Work at Confidential
Overview
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Overview
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
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