Data Scientist Manager

RiverSource Life Insurance Company; Minneapolis (MN); Hybrid; USD 107,000 - 147,000; Full time

Job summary

Ameriprise Financial is seeking a Data Scientist Manager to lead AI/ML initiatives within Client Analytics. You will drive complex analytics, design scalable solutions, and partner with business teams to translate needs into actionable insights.

The role emphasizes production deployment, governance, and mentoring peers while staying ahead of AI advances. Hybrid in-office collaboration supports a flexible work model.

Qualifications

• Master’s degree in quantitative field (Data Science, Statistics, CS, Mathematics, Economics or related).
• 3-5 years delivering advanced analytics, ML, or applied AI.
• Strong foundation in statistics, predictive modeling, and ML.
• Experience with Python, SQL and ML frameworks; cloud experience (AWS/Snowflake).
• Ability to communicate complex ideas to non-technical partners.

Responsibilities

• Design and implement AI and ML solutions for client analytics.
• Translate business needs into analytical approaches with stakeholders.
• Oversee lifecycle from data exploration to deployment and monitoring.
• Lead analytics strategy and evolve recommendation engine.
• Ensure governance and responsible AI practices.
• Mentor peers and stay current on AI techniques.

Skills

Python

SQL

Machine Learning

Data Visualization

AWS

Snowflake

Communication

Education

Master's degree in quantitative discipline

Job description

Data Scientist Manager### Data Scientist ManagerApply: Hybrid: Minneapolis, Minnesota: Full time: Posted Today: End Date: November 28, 2026 (29 days left to apply): R26\\_4331**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 has an opportunity for a Data Scientist Manager to join the team supporting Client Analytics. This is a senior individual contributor role with technical and analysis leadership responsibilities. You will play an integral role in influencing client and advisor strategy and deploying AI at scale. This position operates as a technical leader and trusted partner to business teams, owning complex problems end to end from solution design through production deployment and translating these solutions into actionable insights and data-driven recommendations.**Key Responsibilities*** Design and implement AI and machine learning solutions that address complex, real-world business problems across client and advisor analytics, using statistical analysis, forecasting, predictive modeling, machine learning, and GenAI.* Translate ambiguous business needs into clear analytical approaches by partnering with business stakeholders to 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, 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 closely with product and technology teams to develop, maintain, monitor, and improve recommendation solutions that support personalization, prioritization, and business decision-making.* Ensure solutions meet data, model, and AI governance standards by applying enterprise policies, responsible AI practices, validation expectations, documentation standards, and ongoing performance monitoring.* Serve as a technical leader and thought partner by advancing data science best practices, identifying opportunities for scalable and automated solutions, mentoring peers through knowledge sharing, and staying current on emerging AI, machine learning, and analytics techniques.**Required Qualifications*** Master’s degree in quantitative discipline (i.e., 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.* 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.**Preferred Qualifications*** Experience building solutions using LLMs, Agentic AI, RAG, and more 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.**In-Office Collaboration**We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders — clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.**Visa Sponsorship**Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).**Base Pay Salary**The estimated base salary for this role is $107,000 -$147,100/ 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.**Full-Time/Part-Time**Full time**Exempt/Non-Exempt**Exempt**Job Family Group**Data**Line of Business**CSIRM Information Management*Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.**We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.*