Ameriprise Financial, Inc. seeks a Data Scientist Manager in Minneapolis, MN to identify, develop, and implement complex analytical solutions. Leverage tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc., to manage dataset creation, including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. Remote work permitted 2 days per week. Requirements: Master’s degree in mathematics, statistics, or a related quantitative field, plus 3 years of experience with the following: advanced statistical concepts and techniques; linear algebra; advanced statistical methods, such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, and clustering; statistical programming (SAS, Python, SQL) and data visualization software in a data-rich environment. **The skills, knowledge, and/or experience listed here need not be maintained over the full term of experience noted above. Experience can be gained through education and/or experience. To apply, please visit company website link below (Job Req #R24_0000002968.)

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