Senior Data Scientist

US Bank

Confirmed live yesterday High trust
Closes tomorrow

Quick summary

Work type
On-site
Location
New York, NYMinneapolis, MNSan Francisco, CAChicago, ILDenver, CO
Salary
$132,260–$155,600 / yr
Posted
8 days ago
Freshness
Confirmed live yesterday
Closes
Sep 12, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $159k
This role $144k
$91k most similar roles pay here $227k

This role pays less than 66% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $144k versus about $159k for comparable roles.

Based on 240 similar postings.

Employer

About US Bank

U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services

US Bank currently has 30 open roles on FindRole.

Listed pay typically runs $119,765–$140,900 across 29 roles with salary data.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Senior Data Scientist

The Senior Data Scientist is responsible for managing big data and analytics projects that gather and integrate large volumes of diverse, unstructured data to generate insights for client services and product enhancement. The role involves developing methods and systems to consolidate data sources, implementing and validating predictive models, and creating statistical models focused on big data. You will identify trends in complex datasets to provide actionable recommendations while ensuring all results comply with company standards. To succeed, you must possess strong analytical skills and experience in machine learning techniques and algorithms. The required technical toolkit includes proficiency in Python, R, SAS, and SQL for data extraction, mining, and predictive analytics. This position focuses on solving business questions through advanced statistical techniques to drive data-driven decisions and improve product offerings within the financial services domain.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

What you'll do

  • Manage big data projects that gather and integrate large volumes of diverse data sources.
  • Develop and program methods to consolidate and analyze unstructured data for product enhancement.
  • Acquire data from multiple sources to perform complex analysis and identify trends.
  • Implement, validate, and maintain predictive and statistical models using advanced techniques.
  • Interpret results to provide actionable recommendations for business questions and client services.
  • Present data findings in a clear, concise manner to support data-driven decision making.
  • Monitor the results of applied recommendations and present necessary adjustments.
  • Ensure all data acquisition and sharing processes comply with company standards.

What we're looking for

  • Bachelor's degree in a quantitative field such as statistics, computer science, engineering, or applied mathematics.
  • Six to eight years of relevant experience.
  • Experience in analytics, advanced analytics, predictive modeling, and machine learning.
  • Proficiency in Python, R, SAS, or SQL for data extraction, mining, and predictive analytics.
  • Strong skills in extracting, organizing, and interpreting trends within complex data sets.
  • Demonstrated project management skills.
  • Effective interpersonal, verbal, and written communication skills.

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