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Data Scientist Manager

Pay
$107,000–147,100/year · BaseLocation-specific pay — pay source
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
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Full-Time/Part-Time Full time Exempt/Non-Exempt
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to work in the USApplicants 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)

What you’ll work on

Full posting
  • Design and implement AI and machine learning solutions for client and advisor analytics

  • Lead analytics strategy for the field-facing recommendation engine

  • Translate ambiguous business needs into analytical approaches and insights

  • Own data science solutions across the lifecycle, from development to monitoring

  • Apply model governance, validation and monitoring standards

From the employer’s posting
Design and implement AI and machine learning solutions that address complex, real-world business problems across client and advisor analytics
Lead the analytics strategy and ongoing enhancement of the field-facing recommendation engine
Translate ambiguous business needs into clear analytical approaches
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.
Ensure solutions meet data, model, and AI governance standards

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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.

Preferred experience

  • 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
Qualification wording
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.
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.
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
Education & alternatives
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.

About Ameriprise Financial

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.

In the employer’s words · Read in context

Apply at Ameriprise Financial

Posting record

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Status in our records
Live
First seen by us
Oct 29, 202615 days ago
Recorded sightings
16
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$107K–$147K against $118K–$195K, the middle half of what similar US postings state.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 15

Similar jobs usually come down between day 8 and day 60.

At Ameriprise Financial, jobs usually come down by about day 31.

From 11,783 similar postings that came down, and 73 of Ameriprise Financial’s. Coming down is not always a hire.

Ameriprise Financial is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Snowflake
Where the posting names them
- 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 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.

Your next step

Complete your application on ameriprise.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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About Ameriprise Financial

People
About 13,600 in 2025, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as AMP.
H-1B visas
20 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.

Source details

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Pay
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
Location & working pattern

Minneapolis, Minnesota

Working pattern and location restrictions need checking in the full posting.

Work authorization
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
More source context
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.

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