Director Data Scientist at Ameriprise Financial Services, LLC | MN, US | Rezi

Director Data Scientist at Ameriprise Financial Services, LLC

Director Data Scientist

Ameriprise Financial Services, LLC · MN, US

4 weeks ago

Director Data Scientist

Ameriprise Financial Services, LLC · MN, US

a month ago
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About the Role

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.

Responsibilities

  • Provide analytical thought leadership by engaging collaboratively with business leaders and analysts.
  • Identify and interpret business needs, define high-level requirements, strategy, scope, and technical risks.
  • Align analytics and AI capabilities to top business priorities.
  • Deliver analytic strategy that yields measurable business impact.
  • Develop, document, and communicate business-driven analytic solutions.
  • Translate advanced modeling, segmentation, predictive analytics, and advisor and client intelligence into actionable insights.
  • Identify, develop, and implement complex analytical solutions leveraging predictive modeling, advanced machine learning techniques, optimization, simulation, experimentation, and personalization.
  • Contribute to the expansion of data science expertise by staying current with industry best practices, developing new skills, and knowledge sharing.
  • Develop standardized/automated solutions and adopt best practices through cross-functional collaboration.
  • Set technical direction for complex analytical solutions, focusing 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 the data science team.
  • 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.

Requirements

  • Master’s degree in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field).
  • 7-10 years of experience in an analytic or data science role.
  • Proven ability to present and communicate complex, technical materials to facilitate decision-making and drive outcomes.
  • Ability to communicate effectively with 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.) and 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 simultaneously, delegate, and prioritize work.
  • Proven experience with MLOps practices, CI/CD for models, and production monitoring.
  • Applicants must have valid work authorization that does not require future visa sponsorship in the United States.

Skills

  • Data Science
  • AI
  • Advanced Analytics
  • Predictive Modeling
  • Machine Learning
  • Optimization
  • Simulation
  • Experimentation
  • Personalization
  • Data Extraction
  • Feature Engineering
  • Data Quality Controls
  • Data Validation
  • Data Visualization
  • Python
  • SQL
  • MLOps
  • CI/CD for models
  • LLMs
  • Agentic AI
  • RAG

Location

  • In-Office Collaboration

Work Type

  • Hybrid (1 day work from home)
  • Full-time
  • Exempt

Experience Level

  • 7-10 years of experience
  • People leadership experience

Education Level

  • Master’s degree in quantitative discipline

Salary/Compensations

  • $150,000 - $206,300/year

Benefits

  • Vacation time
  • Sick time
  • 401(k)
  • Health insurance
  • Dental insurance
  • Life insurance

About the Company

  • Diversified financial services leader with over $1.5 trillion in assets under management, administration and advisement.
  • Team of 22,000 people across 19 countries.
  • Serves over 3.5 million individual, small business, and institutional clients.
  • Longstanding leader in financial planning and advice, a global asset manager, and an insurer.
  • Unwavering focus on clients and strong financial foundation connects Ameriprise Financial, Columbia Threadneedle Investments, and RiverSource Insurance and Annuities.
  • Fosters meaningful careers, invests in the future, and makes a difference for clients, institutions, and communities worldwide.

Equal Opportunity

  • 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.