Senior Data Scientist
AI summary of the role
Senior Data Scientist supporting Columbia Threadneedle Investments Asset Management, focusing on predictive modeling, machine learning, and campaign analytics for credit card, lending, and cash products.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Develop and implement complex analytical solutions using predictive modeling, machine learning, simulation, and optimization for marketing and risk management.
- Create datasets including data extraction, derived variables, and quality control for analytics and model development.
- Consult and coordinate campaign execution for direct-to-client campaigns, identifying targeting and optimization opportunities.
- Collaborate with business leaders to define requirements, translate analytic output into actionable business knowledge.
What you’ll bring
- Master's degree
- 1 to 3 years of relevant experience
- Knowledge of advanced statistical concepts and techniques, skilled in linear algebra
- Competence in advanced statistical methods (e.g., regression, random forest, gradient boosting, neural networks, machine learning)
Technologies
SAS · R · Python · SQL · Hadoop · Spark · cloud computing · machine learning · predictive modeling · data visualization
About Ameriprise Financial
Diversified US financial services firm offering financial planning, wealth management (Columbia Threadneedle), and insurance/annuities (RiverSource) to 3.5M+ individual and institutional clients.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
data analysis, campaign execution, and database needs for assigned line of business (Columbia Threadneedle Investments Asset Management). Manage large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. Demonstrate strong technical/problem solving skills. Support multiple projects collaboratively. Key Responsibilities Assist in the development and implementation of complex analytical solutions leveraging tools such as predictive modeling, advanced machine learning techniques, simulation, optimization solutions, etc., with respect to credit card, lending and cash products for marketing and risk management purposes. May lead efforts on small-medium sized projects. Assist in dataset creation including data extraction, derived and
More from the job description
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 year-end 2024. Our team of 22,000 people across 19 countries, serves 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. Job Description Ameriprise Financial is looking to add a Senior Data Scientist to the team! The individual in this role will support modeling, data analysis, campaign execution, and database needs for assigned line of business (Columbia Threadneedle Investments Asset Management). Manage large data sets, providing information-based decision logic and predictive modeling solutions, and translates modeling/analytic output into understandable/actionable business knowledge, insight and applications. Demonstrate strong technical/problem solving skills. Support multiple projects collaboratively. Key Responsibilities Assist in the development an [... source excerpt omitted ...] selection, delivery, and back-end data capture results. Partner closely with leader and others to ensure proper delivery. Consult and coordinate campaign execution for direct to client campaigns. Assist in identifying and executing targeting and optimization opportunities. Under direction of the Sr. Leader, collaborate with business leaders and/or analysts to provide analytical thought leadership and support for business problems. Help identify and interpret business needs, define high-level business requirements, strategy, technical risks, and scope. Develop, document, and communicate business-driven analytic solutions and capabilities, translating modeling and analytic out [... source excerpt omitted ...] with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Required Qualifications Master's degree 1 to 3 years of relevant experience required Knowledge of advanced statistical concepts and techniques; skilled in linear algebra. Competence using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar methodologies. Experience with statistical programming (SAS, R, Python, SQL etc.) & data visualization software in a data-rich environment. Ability to
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