U.S. Bank

Data Scientist – Advanced Analytics

U.S. Bank

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $98,175 - $115,500 per year

Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • U.S. Bank’s Business, Insights, and Performance organization has an opportunity for a Data Analyst/Scientist for Digital Channel Optimization (DCO).
  • This position will conduct statistical analysis and develop and sustain predictive models in support of improved customer experience, operations transformation and reduced operating expenses related to the digital channel.
  • Responsible for analytics projects that gather and integrate large volumes of data from multiple sources.
  • Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action.
  • Interprets data and analyzes results using various advanced statistical techniques and tools.
  • Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions.
  • Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to perform analysis and generate insights and solutions for client services and product enhancement.
  • Creates and maintains statistical models as well as implements and validates predictive models leveraging big data sources.
  • Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis.
  • Measures and monitors results of applied recommendations and present adjustments.
  • Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.
  • This role does not support a visa sponsorship.
  • The role offers a hybrid/flexible schedule, which means there’s an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days at one of the posted locations.

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.
  • Formal data science experience and education in a data science-related field.
  • Customer contact center or related business line experience needed.
  • Business process outsourcing background will be a huge plus
  • Experience in Python, SAS or SQL for data extraction, data mining, and predictive analytics .
  • Experience with digital optimization and transformation preferred.
  • Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets.
  • Experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization.
  • Understanding of machine learning techniques and algorithms.
  • Demonstrated project management skills.
  • Effective interpersonal, verbal and written communication skills.