Job Description

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, were one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

Job Description

U.S. Bank is looking for a Data Science Manager to join the Enterprise Data Science Team supporting the development of custom AI/ML models to support reducing fraud loss directly supporting our fraud management teams, business lines and customers. The ideal candidate is established leader who has analytical, technical and business experience within the fraud prevention and detection domain.

The individual will be comfortable working in an innovation-focused environment in particular, evaluating emerging trends and technologies to assess their feasibility and viability. The position relies on the individual to be a self-starter and a quick learner, to have a futurist mindset, and to be able to innovate and report on tasks and status proactively.

Responsibilities:

- Leads development of ML models to derive insights and make predictions through the entire model lifecycle, from ideation to model deployment and maintenance

- Performs data selection, pre-processing, curation, and extract/transform/load (ETL) of large, complex data sets to support AI/ML solution development

- Partners with software engineering teams to operationalize ML model outputs within scalable and resilient production systems

- Collaborates with other technical organizations within the company to define optimal data pipelines and identify new growth opportunities using AI/ML technologies

- Encourages new transformative thinking and trail blazing, and facilitates imagination and ideation sessions

- Maintains current knowledge of technology landscape and emerging developments

- Works with various Product and Enterprise teams to optimize customer and user experiences.

- Employs practical approach to data access and management and eventual platform integration of AI/ML solutions

Qualifications:

- Graduate degree in a STEM field (e.g., Physics, Mathematics, Computer Science, Operations Research, Statistics, or related quantitative/technical fields) and at least 5 years of experience in data engineering, data analytics, and/or data science

- 10+ years professional work experience

- Experience directing the performance of analytical & technical experts (e.g. Data Engineers, Data Scientists) in an industry setting (banking/finance industry strongly preferred)

- 5 years of experience related to the fraud business domain within a financial institution

- 5 years of experience deploying models & strategies to fraud management systems within a financial institution

- 5 years of experience in AI/ML algorithms applied to develop custom fraud models within a financial institution:

* 1st and 3rd party fraud

* Origination and transaction fraud

* Product domains such as Credit Card, Loans, Deposits, etc.

Preferred Qualifications:

- Experience with Python, R, R-Shiny, Tableau, Scala and related open-source libraries and modules

- Advanced working knowledge and experience with designing and maintaining both relational and non-relational databases and data access methods, e.g. Postgres, MongoDB, SQL, NoSQL, RESTful APIs, GraphQL, etc.

- A successful history of manipulating, processing, and extracting value from large distributed and unstructured datasets

- Experience with APIs= Knowledge of programming and software design fundamentals, e.g. object oriented and functional design principles, best practices, etc.

- Experience in developing within cloud-based environments (e.g. Google Cloud, Amazon Web Services, Microsoft Azure), with emphasis on GPU-enabled computing

- Experience delivering and maintaining AI/ML solutions in production using Continuous Integration/Continuous Delivery (CI/CD) tools (e.g. Jenkins, Kubernetes, GitHub, JIRA/Bitbucket/Bamboo, Artifactory, DataDog) and best practices

- Experience delivering communications in a clear, concise, and compelling manner

- Willing to travel up to 10% of the time for business purposes

Benefits:
Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.

Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting usbank.com/careers.

EEO is the Law
Applicants can learn more about the companys status as an equal opportunity employer by viewing the federal EEO is the Law poster.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.