Data Scientist (Multiple openings) in Minneapolis, MN.

U.S. Bancorp
Minneapolis
Workplace: OnsiteFull timeUSD 142,230 - 155,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Cross-functional collaboration","Clear communication","Data storytelling","Attention to compliance","Stakeholder management"]

Deliver big data and analytics solutions by collecting, cleaning, and pre-processing large structured and unstructured datasets. Use SAS and SQL to extract and organize data, Python-based web scraping to harvest public data, and statistical methods for exploratory data analysis. Build predictive and machine learning models, deploy and monitor solutions in production, and translate results into actionable recommendations for client services and product enhancements while meeting security, privacy, and compliance standards.

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FursaFursa
U.S. Bancorp
U.S. Bancorp
16 hours ago

Data Scientist (Multiple openings) in Minneapolis, MN.

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Deliver big data and analytics solutions by collecting, cleaning, and pre-processing large structured and unstructured datasets. Use SAS and SQL to extract and organize data, Python-based web scraping to harvest public data, and statistical methods for exploratory data analysis. Build predictive and machine learning models, deploy and monitor solutions in production, and translate results into actionable recommendations for client services and product enhancements while meeting security, privacy, and compliance standards.
Location: Minneapolis
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Deliver big data/analytics projects by collecting, cleaning, and pre-processing large structured and unstructured datasets from internal and external sources.
  • •Extract, collect, and organize complex datasets using SAS and SQL, including publicly available data harvesting through Python-based web scraping.
  • •Conduct exploratory data analysis (EDA) and use statistical methods to identify trends and patterns in complex data.
  • •Develop, build, and implement predictive/statistical models and machine learning algorithms for insights and client/product solutions, including deployment, monitoring, and continuous improvement.
  • •Collaborate with product, customer experience, risk, compliance, and business teams; present findings to technical and non-technical stakeholders while adhering to security, privacy, and compliance standards.

Pay and Benefits

Salary: USD 142,230 - 155,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kPaid LeaveParental Leave

Key Requirements

  • •Bachelor’s degree (or equivalent) in Computer Science or Computer Engineering, plus 5 years of progressive experience in software engineering or data science.
  • •24 months of experience extracting, collecting, and organizing complex datasets using SAS and SQL, including harvesting publicly available data via Python-based web scraping.
  • •24 months of experience building predictive and machine learning models, performing data mining, and developing visualizations to drive actionable business outcomes.
  • •Work with Python, R, SAS, and SQL for large-scale data extraction and analysis.
  • •Interpret results using advanced statistical techniques (regression, correlation, clustering, hypothesis testing) and leverage AI platforms such as DataRobot.
Experience:5+ years
Education:Bachelor's in Computer Science or Computer Engineering
Skills:Cross-functional collaborationClear communicationData storytellingAttention to complianceStakeholder management
Tech Stack:PythonRSASSQLDataRobot

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

U.S. Bancorp
U.S. Bancorp is the parent company of U.S. Bank, providing consumer, business, and institutional banking services including lending, payments, treasury management, wealth management, and merchant solutions across the United States.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Minneapolis, United States
Founded: 1863
Glassdoor
Glassdoor: 3.8
WebsiteLinkedInGlassdoor