Data Scientist Manager

Ameriprise • Minneapolis, MN

5d • $107,000 - $147,100 • Hybrid

About The Position

Ameriprise Financial is hiring a Data Scientist Manager to support Client Analytics. This is a senior individual-contributor position with technical and analytical leadership responsibilities, focused on influencing client and advisor strategy and deploying AI at scale. The role serves as a technical leader and trusted partner to business teams, owning complex problems from solution design through production deployment and translating solutions into actionable insights and data-driven recommendations.

The position leads the strategy and enhancement of a field-facing recommendation engine in partnership with product and technology teams. It also supports the complete data science and AI solution lifecycle, while ensuring solutions adhere to data, model, and AI governance standards and responsible AI practices. Employees work in the office at least four days per week, with flexibility to work from home one day per week.

Requirements

• Master’s degree in a quantitative discipline such as Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.
• 3–5 years of relevant experience delivering advanced analytics, machine learning, or applied AI solutions.
• Strong foundation in statistics, predictive modeling, and machine learning.
• Experience with modern data science tools, data visualization tools, and programming languages such as Python, SQL, and ML frameworks.
• Experience working in cloud-based platforms, preferably AWS or Snowflake.
• Ability to independently own complex problems and deliver production-ready solutions.
• Ability to present and communicate complex technical materials in ways that facilitate decision-making and drive outcomes, including communicating with less technical partners.
• Ability to work effectively in a collaborative team environment and support multiple projects at one time.
• Applicants must have valid U.S. work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

• Experience building solutions using LLMs, Agentic AI, RAG, and traditional AI techniques.
• Familiarity with MLOps practices, CI/CD for models, and production monitoring.
• Experience using large-scale data sets.
• Familiarity with financial advisor, client, or customer analytics.
• Experience working in financial services or other highly regulated industries.

Responsibilities

• Design and implement AI and machine learning solutions for complex business problems in client and advisor analytics, using statistical analysis, forecasting, predictive modeling, machine learning, and GenAI.
• Partner with business stakeholders to frame ambiguous needs as analytical approaches, define success measures, develop hypotheses, and communicate actionable insights and recommendations.
• Support the full lifecycle of data science and AI solutions, from problem framing, data exploration, and feature engineering through model development, validation, deployment, monitoring, and continuous improvement.
• Lead the analytics strategy and ongoing enhancement of the field-facing recommendation engine, partnering with product and technology teams to develop, maintain, monitor, and improve recommendation solutions.
• Apply enterprise policies, responsible AI practices, validation expectations, documentation standards, and ongoing performance monitoring to meet data, model, and AI governance standards.
• Advance data science best practices, identify opportunities for scalable and automated solutions, mentor peers through knowledge sharing, and stay current on emerging AI, machine learning, and analytics techniques.

Benefits

• Vacation time
• Sick time
• 401(k)
• Health insurance
• Dental insurance
• Life insurance
• Variable pay may be available in the form of bonus, commissions, and/or long-term incentives, depending on the role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior