Data Scientist – Big Data & ML for Banking

Socket.dev

Minneapolis (MN)

On-site

USD 142,000 - 155,000

Full time

11 days ago

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Benefits offered by this job

Healthcare (medical, dental, vision)
401(k) and retirement plan
Paid vacation and holidays

Job summary

U.S. Bank is seeking a full-time Data Scientist (Multiple openings) in Minneapolis, MN. You will deliver big data analytics projects, build predictive models, and collaborate with product, risk, and operations teams to translate data into actionable business outcomes.

You will work with Python, R, SAS, SQL, and DataRobot to collect, preprocess, and analyze data, while ensuring security and compliance. This role emphasizes scalable, production-ready solutions with measurable impact.

Qualifications

  • Bachelor’s degree or equivalent in Computer Science or Computer Engineering with 5 years progressive experience in software or data science.
  • Experience extracting, cleaning, and preprocessing large-scale structured and unstructured data.
  • Ability to develop predictive models and machine learning algorithms for business outcomes.

Responsibilities

  • Deliver big data/analytics projects from data collection to model deployment.
  • Perform EDA and statistical analyses to identify trends and insights.
  • Collaborate with cross-functional teams to translate data into actionable recommendations.
  • Build production-ready analytics solutions with monitoring and continuous improvement.

Skills

SAS/SQL expertise
Python
R
DataRobot
Big data analytics

Education

Bachelor's degree in CS or CE

Tools

SAS
SQL
Python
R
DataRobot

Job description

U.S. Bank is seeking a full-time Data Scientist (Multiple openings) in Minneapolis, MN. You will deliver big data analytics projects, build predictive models, and collaborate with product, risk, and operations teams to translate data into actionable business outcomes.

You will work with Python, R, SAS, SQL, and DataRobot to collect, preprocess, and analyze data, while ensuring security and compliance. This role emphasizes scalable, production-ready solutions with measurable impact.

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