Data Scientist Manager

00001 Ameriprise Financial Inc; Minneapolis (MN); Híbrido; USD 107 000 - 147 000; Tempo integral

Resumo da oferta

Ameriprise Financial is seeking a Data Scientist Manager to join Client Analytics. This senior individual contributor role leads technical and analytical efforts, owning complex problems from design through production deployment and delivering data‑driven recommendations for clients and advisors.

You will guide AI/ML initiatives at scale, collaborate with business stakeholders to define success, ensure governance, and mentor peers while staying current with AI advances and industry best

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Statistics & ML

Python/SQL/ML frameworks

Cloud platforms (AWS/Snowflake)

Data science leadership

Communication of technical concepts

Formação académica

Master’s degree in quantitative discipline

Descrição da oferta de emprego

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 & 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.

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.

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.

Since 1894, Ameriprise Financial has helped people feel more confident about their financial future. Guided by strong values and a deep commitment to clients, we've remained a trusted leader in financial planning and advice for more than 130 years. Through our businesses, Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance & Annuities, we deliver advice, investment and protection solutions designed for long‑term success. While each business brings distinct capabilities and expertise, all are united by our unwavering focus on clients and a strong financial foundation. For you, that means the opportunity to build a meaningful career in a high‑performing, collaborative culture where your expertise can grow, your contributions are valued and your work can make a real impact.

As a global financial services company with three complementary businesses, the breadth of our capabilities sets us apart. It also creates unique opportunities for employees to learn, collaborate and grow their careers: Ameriprise Financial: Financial planning, advice and wealth management. Columbia Threadneedle Investments: Global asset management serving individual, institutional and corporate clients. RiverSource Insurance & Annuities: Products and solutions designed to help clients protect and grow their wealth. Explore opportunities within each business and region below.

Ameriprise US | Careers Ameriprise India | Careers Columbia Threadneedle Investments US | Careers Columbia Threadneedle Investments EMEA APAC | Careers RiverSource | Careers

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