Data Scientist (Multiple openings) in Cupertino, CA.

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

U.S. Bank is seeking a full-time Data Scientist (Multiple openings) in Cupertino, CA.

Essential Responsibilities:

Responsible for developing and implementing data science/machine learning solutions to extract, analyze, and model unstructured data for the AI Center of Excellence (AICoE) at U.S. Bank. The Data Scientist will specialize in developing and programming methods, processes, and systems using advanced statistical, computational, and artificial intelligence (AI) techniques. Specific duties will include:

• Design, implement, and evaluate machine learning and deep learning algorithms, including supervised and unsupervised techniques, such as regression, classification, and clustering;
• Apply advanced statistical methods, such as hypothesis testing, regression analysis, and model evaluation metrics to interpret and validate model results;
• Develop and implement Transformer-based Natural Language Processing (NLP) models for question answering, entity recognition, relation extraction, summarization from complex documents;
• Develop multimodal solutions to extract and analyze both text- and image-based documents and data sources;
• Fine-tune and implement Large Language Models (LLMs) and related NLP components using efficient fine-tuning methods, including dataset curation and validation, and prompt optimization techniques;
• Build and advance AI systems and agents that enhance automation, ensure regulatory compliance, and strengthen stakeholder trust using retrieval-based reasoning and autonomous decision-making techniques;
• Train, fine-tune, and deploy machine learning models across structured and unstructured data modalities, ensuring scalability and reproducibility;
• Acquire, clean, and integrate data from multiple sources and build, validate, and optimize predictive and statistical models using advanced machine learning and data visualization techniques;
• Design, develop and implement Application Programming Interfaces (APIs) to integrate data pipeline and ML/AI models enabling seamless communication between AI systems and business products;
• Identify, analyze, and interpret trends and patterns in complex data to answer business questions and develop actionable recommendations;
• Present data and analysis in a clear, concise manner to both technical and non-technical audiences to quickly understand results and recommendations and make data-driven decisions; and
• Ensure all data acquisition, sharing, and results of applied recommendations are compliant with company standards.

Uses the following tools and technologies: Python (Numpy, Pandas), R, Java, SQL, PyTorch, TensorFlow, Hugging Face Transformers, Linux, SOAP, RESTful APIs and cloud platforms (Azure OpenAI, AWS) for data extraction, data mining, and predictive analytics, Tableau, HTML5, EXCEL VBA scripts, supervised (XGBoost, CatBoost) and unsupervised techniques (Kmodes, K-means).

Basic Qualifications:

This position requires a Master’s degree or equivalent in Applied Data Science, Data Science, or Computer Science and 1 year of experience in a data science or related occupation.

Required Skills/Experience:
Must also have 12 months of experience with each of the following: 1) Extracting, collecting, organizing, and analyzing trends or patterns in complex data sets using databases, advanced analytics and statistics, predictive modeling, and data visualization. 2) Building performance dashboards from analysis data in visualization tools (Tableau, HTML5, EXCEL VBA scripts). 3) Designing, implementing and evaluating machine learning and deep learning algorithms, including supervised (XGBoost, CatBoost) and unsupervised techniques (K-modes, K-means) and model evaluation metrics. 4) Designing, implementing and productizing RESTful APIs and SOAP-based web services. 5) Using Python (Numpy, Pandas), R, Java, SQL, Linux, and RESTful APIs, for data extraction, mining, and predictive analytics. Will accept experience gained before, during or after Master’s program. Employer will accept experience gained concurrently. U.S. Bank is subject to and conducts background checks consistent with the regulatory requirements applicable to our industry and operations.

Base pay range may vary if an offer is made for work in a different location. Pay Range: $168,917 - $173,100. (#LI-NDI #LI-DNI #LI-DNP #DE-DNP #IND-DNP).

• The examination for this position may include an additional supplemental questionnaire. Improper or missing responses could affect your application.
• This position is not eligible for visa sponsorship.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: 

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• Healthcare (medical, dental, vision)

• Basic term and optional term life insurance

• Short-term and long-term disability

• Pregnancy disability and parental leave

• 401(k) and employer-funded retirement plan

• Paid vacation (from two to five weeks depending on salary grade and tenure)

• Up to 11 paid holiday opportunities

• Adoption assistance

• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

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.

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.