Ameriprise Financial, Inc. seeks a Data Scientist Manager in Minneapolis, MN to identify, develop, and implement complex analytical solutions. Key Responsibilities 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. Required Qualifications 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 joinameriprise.com (Job Req #R240000002968.) About Our Company We're a diversified financial services leader with more than $1 trillion in assets under management and administration as of 2022. Our team of 20,000 people in more than 20 countries, advise and manage assets and income of more than 2 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities. Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world. Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.