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Senior Data Scientist Manager
Ameriprise Financial Services, LLC. Design and implement AI and machine learning solutions for complex business problems across Service and Operation analytics .
Posted 9/25/2026full-timeMinneapolis • Minnesota • United StatesSenior💰 $131,000 - $180,100 per yearWebsite
Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- Design and implement AI and machine learning solutions for complex business problems across Service and Operation analytics
- Use statistical analysis, forecasting, predictive modeling, machine learning, and GenAI
- Translate ambiguous business needs into analytical approaches with business stakeholders
- Frame problems, define success measures, develop hypotheses, and communicate actionable insights and recommendations
- Support the full lifecycle of data science and AI solutions from problem framing through deployment, monitoring, and continuous improvement
- Lead analytics strategy and enhancement of the field-facing recommendation engine
- Partner with product and technology teams on recommendation solutions supporting personalization, prioritization, and business decision-making
- Apply data, model, and AI governance standards, responsible AI practices, validation expectations, and documentation standards
- Monitor ongoing solution performance
- Advance data science best practices and identify scalable and automated solutions
- Mentor peers through knowledge sharing and stay current on emerging AI, machine learning, and analytics techniques
- Deliver analytic strategy that creates measurable business impact
Requirements
What you’ll need- Master’s degree in quantitative discipline (i.e., Data Science, Statistics, Computer Science, Mathematics, Economics or a related field)
- 5-7 years of relevant experience delivering advanced analytics, machine learning, or applied AI solutions
- Strong foundation in statistics, predictive modeling, and machine learning
- Proven experience with modern data science tools, data visualization tools, and programming languages (e.g., Python, SQL, ML frameworks)
- Experience working in cloud-based platforms, preferably AWS or Snowflake
- Proven ability to independently own complex problems and deliver production-ready solutions
- Proven ability to present/communicate complex, technical materials in a way that facilitates decision making and drives outcomes; ability to communicate to less technical partners
- Ability to work effectively in a collaborative team environment and support multiple projects at one time
- Valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States
Benefits
Comp & perks- Variable pay in the form of bonus, commissions, and/or long-term incentives, depending on the role
- Vacation time
- Sick time
- 401(k)
- Health insurance
- Dental insurance
- Life insurance
- Flexible work arrangement: work from home one (1) day per week
- Inclusive and accessible recruitment process with reasonable accommodation support