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U.S. Bank National Association
Senior Data Scientist
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$138,705 / year median in California
+8% projected growth
Job Description
Senior Data Scientist U.S. Bank National Association - 3.5 Los Angeles, CA Job Details Full-time $132,260 - $155,600 a year 3 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance 401(k) Adoption assistance Parental leave Vision insurance Life insurance Qualifications AI models Statistics Computer science Data visualization software proficiency Data Integration (Data management) Big data projects 6 years Statistics Data analysis reporting Computer Science Applied Mathematics Predictive modeling analysis Bachelor's degree in statistics SAS R Trend analysis SQL Machine intelligence Bachelor's degree in engineering Data-driven problem-solving Managing projects Machine learning (ML) fundamentals Predictive analytics projects Senior level Bachelor's degree in computer science Research findings presentation Data visualization projects Communication skills Python Full Job Description At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. Job Description 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. Basic Qualifications 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 Preferred Skills/Experience 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 If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.