Senior Data Scientist

U.S. Bank • Minneapolis, MN

6d • $132,260 - $155,600

About The Position

Responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data. 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. 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.

Requirements

• Bachelor's degree in a quantitative field such as statistics, computer science, engineering or applied mathematics, or equivalent work experience
• Six to eight years of relevant experience

Nice To Haves

• 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
• Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytics
• Demonstrated project management skills
• Effective interpersonal, verbal and written communication skills

Responsibilities

• Acquires data from multiple data sources to perform analysis.
• Implements and validates predictive models as well as create and maintain statistical models with a focus on big data.
• 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.
• 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.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Senior