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Data Scientist

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U.S. Bank

1mo ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Research & Development
  • Irving

AI generated summary

  • You need a quantitative Bachelor’s, 4-6 years of experience, advanced degree preferred, Python/SQL skills, ML modeling, cloud familiarity, and experience with RAG applications.
  • You will conduct data research, prepare use cases, engage with stakeholders, explore banking dynamics, deliver analytic solutions, validate data, document code, and collaborate with IT on data quality.

Requirements

  • Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
  • Four to six years of relevant experience
  • Advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline
  • Experience in developing machine learning models
  • Strong programming skills in Python and SQL
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud)
  • Hands-on experience in fine-tuning large language models, developing Retrieval-Augmented Generation (RAG) applications and building intelligent AI agents
  • Excellent communication skills to support business consulting and collaboration with business partners
  • Experience working in an agile environment

Responsibilities

  • You will spend about 60% of your time conducting data-driven research and experiments to push the boundaries of data science and generative AI, improving model performance and applicability in various use cases.
  • Stay up to date with the latest advancements in AI, particularly in generative models, natural language processing (NLP), and machine learning techniques.
  • The other 40% of time will be spent on preparing use cases and data: diving deep into the complexities of large-scale banking relationships and finding opportunities to streamline work and improve performance.
  • You’ll be joining a team tightly integrated with front line bankers and leaders and develop understanding of their challenges.
  • Engage with stakeholders, challenge assumptions and build industry leading solutions.
  • Quickly learn complex B2B banking dynamics and design data science solutions that create competitive differentiation.
  • Delivery of advanced analytic solutions via modern ML/AI tools that prioritizes potential new leads to improve prospecting, data for deepening engagement within our existing client set, and reducing the risk of attrition.
  • Enable a data foundation that includes advanced analytic solutions for bankers that allows them to find, track and discover opportunities.
  • Exploring statistical analysis that could be applied to the data; Performing descriptive statistics, exploring datasets, building visualizations iteratively to explore and understand the data.
  • Documenting calculations, code, and adhering to data management principles.
  • Validating and testing data assets of others in the form of peer review.
  • Research data assets from multiple disparate sources, applies various technologies find and move data assets for analysis, development of metrics, reports, and statistics.
  • Play an active role with IT engineers to ensure critical data is available, with quality in the proper platforms with clear SLAs.

FAQs

What is the experience requirement for the Data Scientist position?

Candidates should have a minimum of 4 years of related experience.

What educational background is required for this role?

A Bachelor's degree in a quantitative field such as statistics, computer science, engineering, or applied mathematics is required, or equivalent work experience.

Is there a preferred educational qualification for candidates?

Yes, an advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is preferred.

What key skills should candidates have for the Data Scientist role?

Candidates should have strong programming skills in Python and SQL, experience in developing machine learning models, and familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.

Will there be opportunities to work with AI and machine learning technologies?

Yes, the role involves leveraging machine learning and generative AI solutions, including fine-tuning large language models.

What is the expected work schedule for this position?

The role offers a hybrid/flexible schedule, with an in-office expectation of 3 or more days per week.

Will the Data Scientist be required to collaborate with stakeholders?

Yes, engaging with stakeholders and building industry-leading solutions is a key responsibility of the role.

What type of team culture can I expect in this position?

The team promotes an open culture with a free exchange of thoughts and fosters a startup mentality.

Are there benefits offered for this position?

Yes, the role includes a comprehensive benefits package such as healthcare, retirement plans, paid vacation, and more.

Is prior experience in an agile environment beneficial?

Yes, experience working in an agile environment is preferred for this position.

Are candidates with arrest or conviction records considered for employment?

Yes, U.S. Bank will consider qualified applicants with arrest or conviction records in compliance with applicable local laws.

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U.S. Bank

Finance
Industry
10,001+
Employees
1863
Founded Year

Mission & Purpose

U.S. Bancorp, with nearly 70,000 employees and $554 billion in assets as of December 31, 2020, is the parent company of U.S. Bank National Association, the fifth-largest commercial bank in the United States. The Minneapolis-based bank blends its relationship teams, branches and ATM network with digital tools that allow customers to bank when, where and how they prefer. U.S. Bank is committed to serving its millions of retail, business, wealth management, payment, commercial, corporate, and investment customers across the country and around the world as a trusted and responsible financial partner. This commitment continues to earn a spot on the Ethisphere Institute’s World’s Most Ethical Companies list and puts U.S. Bank in the top 5% of global companies assessed on the CDP A List for climate change action.

Benefits

  • You choose how to save and invest through before-tax and/or Roth after-tax contributions and a variety of investment options. You’re immediately vested and receive a 100% company match up to 4% of eligible pay after a year of service.

  • Premier support – Experience an elevated level of personalized and unified support when you have questions or concerns or when you need expert support related to your UnitedHealthcare/Optum medical, prescription, mental and behavioral health, and Health Savings Account benefits. Y

  • An HSA provides a tax-advantaged means for you to save and pay for qualified healthcare expenses, including doctor and dentist visits, prescriptions, glasses, contact lenses and more. Enroll in a U.S. Bank HSA Advantage medical plan to contribute and to receive up to $750 (if you cover yourself) or up to $1,500 (if you cover one or more family members) annually from U.S. Bank.

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