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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director Data Scientist - **Company:** Ameriprise Financial Services, Inc. - **Location:** Minneapolis, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $206,300.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Continuous Integration, Data Mining, Python (Programming Language), Machine Learning, SQL Databases, Computational Statistics, Feature Engineering, Large Language Models, Deep Learning, Information Technology, Optimization Algorithms, Machine Learning Operations, Virtual Agents - **Published:** August 26, 2026 - **Apply:** https://www.careerjet.com/job/usa1fbce39d55f8c62ea1c9d8b4d5fc535/eaa ## About the Role Master's degree in quantitative discipline (i.e., Data Science, Statistics, Computer Science, Mathematics, Economics or a related field). 7-10 years of experience in analytic or data science role 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. Strong knowledge of advanced statistical, machine learning, and optimization techniques, with the ability to apply the right method to the business problem Experience with statistical programming (Python, SQL, etc.) & data visualization software in a data-rich environment. Proven ability to apply both strategic and analytic techniques to provide business solutions and recommendations. Ability to work effectively and influence in a collaborative team environment Ability to manage multiple projects at one time, delegate and prioritize work Proven experience with MLOps practices, CI/CD for models, and production monitoring. Preferred Qualifications Experience building solutions using LLMs, Agentic AI, RAG, and more traditional AI techniques. People leadership experience Experience and knowledge of Ameriprise field structure and hierarchy Advisor, client, and industry knowledge Experience working in financial services or other highly regulated industries. ## Description The Director of Client Analytics is a people and analytic leadership role responsible for advancing client strategy through scalable data science, AI, and advanced analytics solutions. This role leads a team of data science professionals and partners with senior business leaders to translate complex data, predictive models, and analytic insights into clear business recommendations that improve client outcomes and inform strategic decisions. This is a fast-paced role focused on highly visible, high-impact analytics initiatives that directly support business execution and senior leadership priorities. Key Responsibilities Engage collaboratively with business leaders and analysts to provide analytical thought leadership. Identify and interpret business needs, define high-level requirements, strategy, scope, and technical risks, and align analytics and AI capabilities to top business priorities. Deliver analytic strategy that delivers measurable business impact. Develop, document, and communicate business-driven analytic solutions, translating advanced modeling, segmentation, predictive analytics, and advisor and client intelligence into clear, actionable insights that influence decision-making and execution. Identify, develop, and implement complex analytical solutions leveraging predictive modeling, advanced machine learning techniques, optimization, simulation, experimentation, and personalization. Contribute to ongoing expansion of data science expertise and credentials by keeping up with industry best practices, developing new skills, and knowledge sharing. Work cross functionally to develop standardized/automated solutions and adopt best practices. Set technical direction for complex analytical solutions, including predictive modeling, machine learning, optimization, simulation, experimentation, and personalization, with a focus on scalable and business-ready delivery Build, lead, and scale a high-performing analytics team, fostering a culture of curiosity, innovation, accountability, and continuous learning. Provide coaching, performance management, hiring, development, and goal setting for team of data scientists. Manage data and dataset creation, including data extraction, feature engineering, data quality controls, and validation processes. Monitor the execution and performance of analytical solutions from criteria definition through delivery and results capture. Ensure adherence to enterprise and industry data, model, and AI governance standards. Partner with governance leaders to manage risk, compliance, and ethical use of analytics and AI capabilities across the team., Data Scientist Location: West Metro of Minneapolis We are seeking a collaborative, hands-on Data Scientist to develop, enhance, and deploy machine-learning and advanced analytics… + 11 days ago, Job Description WHAT IS THE OPPORTUNITY? As a Data Scientist you will problem solve, analyze, design, implement and monitor machine learning applications using state of the art… + 17 days ago, Job Description What is the opportunity? In this role as a Lead Data Scientist you will analyze, design and implement data science / machine learning solutions using RBC's ente… + 17 days ago + ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [The Missing Layer Between Enterprise Data and AI Agents](https://www.wearedevelopers.com/videos/100286-the-missing-layer-between-enterprise-data-and-ai-agents) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1520-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)