Vice President, Data Scientist II

Defines, develops, maintains, and delivers strategic data science products that demonstrate the value and effectiveness of the organization. Will be responsible for the leadership and direction of the projects to develop analytic products. Develop and communicate insights leveraging the scientific method. Roles may specialize into 3 domain specialties: model science, feature science and Insight science capabilities. Familiar with big data systems and technologies. Accountable for developing and guiding more junior members and communicating findings, approaches, and insights from data products. Responsible for guiding own work for deployment and support.

Leads and partners with others to deliver meaningful insights in complex business situations. Establishes relationships to obtain data and subject knowledge needed to support advanced analytics. Conducts studies to provide additional facts needed to make informed decisions about organizational and functional effectiveness with data decisioning. Develops consultative partnerships with internal teams to understand their strategic objectives, key performance indicators and reporting requirements. Maintains knowledge of companys total computing environment and planned changes to develop meaningful data science products. Monitors industry and marketplace technology practices and benchmarks related to banking industry and supporting the data strategy. Stays abreast of technology innovations and trends. Recommend areas for improvement. Collaborates/Supervises leaders/Individuals to deliver on complex projects aligned with organizational strategies and business priorities. Provides training in technical tools and skills, as well as specific applications and their business functions to maximize their contribution. Grow and develop skills across the 3 domain specialties: model science, feature science and Insight science capabilities. Stressing expertise in the core functional areas: Computer Programming, Math & Analytics Methodology, machine learning algorithms/frameworks, big data technologies, Distributed computing, and communications of complex results. Contributes to the achievement of related teams objectives.

Modified based upon local regulations/requirements. Advanced degree in STEM engineering degrees, or equivalent work experience with experience preferred in related fields. 4-6 years of related experience required; experience in the securities or financial services industry is a plus.

BNY Mellon is an Equal Employment Opportunity/Affirmative Action Employer. Minorities/Females/Individuals with Disabilities/Protected Veterans. Our ambition is to build the best global team-one that is representative and inclusive of the diverse talent, clients and communities we work with and serve-and to empower our team to do their best work. We support wellbeing and a balanced life, and offer a range of family-friendly, inclusive employment policies and employee forums.