Director-Data Scientist

About the position Ameriprise Financial, Inc. seeks a Director - Data Scientist, in Minneapolis, MN. To identify, develop, and implement analytical solutions, while leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, and optimization solutions. Identify/interpret business needs, define high-level business requirements, strategy, technical risks, and scope, and engage with business leaders and analysts to provide analytical thought leadership for business problems. Remote work permitted 2 days per week. #LI_DNI About Our Company We're a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of more than 3.5 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. Base Pay Salary The estimated base salary for this role is $165,800 - $194,600 a year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances. 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. Responsibilities • To identify, develop, and implement analytical solutions, while leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, and optimization solutions. • Identify/interpret business needs, define high-level business requirements, strategy, technical risks, and scope, and engage with business leaders and analysts to provide analytical thought leadership for business problems. Requirements • Master's degree in business analytics, statistics, or a related field, plus 3 years of experience in the following: advanced statistical concepts and techniques with skills in linear algebra • conducting hands-on analytics projects using advanced statistical methods, including 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. Benefits • vacation time • sick time • 401(k) • health insurance • dental insurance • life insurances Apply tot his job