Perform exploratory data analysis to identify trends, patterns, and anomalies for tier 0 applications/products. Develop and implement statistical models, machine learning algorithms, and data mining techniques for Service Management initiatives.

Key Responsibilities

Collect, clean, and preprocess structured and unstructured data from various sources.

Develop and implement statistical models, machine learning algorithms, and data mining techniques.

Perform exploratory data analysis to identify trends, patterns, and anomalies.

Communicate findings through visualizations, dashboards, and reports.

Collaborate with engineering, product, and business teams to deploy models and integrate data solutions.

Monitor model performance and continuously improve accuracy and efficiency.

Stay current with industry trends, tools, and best practices in data science and analytics. LI_DNI

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.

0-1 years of experience.

Proficiency in programming languages such as Python or R.

Strong knowledge of SQL and data manipulation tools.

Understanding of data engineering concepts: ETL/ELT, data quality, logging, monitoring.

Exposure to AWS CloudWatch, S3, Lambda, EC2.

Understanding of infrastructure concepts such as compute, storage, networking, IAM.

Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn).

Excellent problem-solving and communication skills.

Preferred Qualifications

Exposure to Snowflake and Iceberg.

Comfortable with model validation, monitoring, and basic MLOps concepts.

Ability to write scripts to automate reporting or operational tasks

Experience with API integrations (REST, boto3 for AWS, etc.).

Basic understanding of containerization (Docker) is a plus.

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 2024. With our team of more than 20,000 people in 20 countries, we advise, manage and protect assets and income of 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.

Base Pay Salary

The estimated base salary for this role is $71,300 - $96,000 a 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.

Ameriprise Financial is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, genetic information, age, sexual orientation, citizenship, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.

Full-Time/Part-Time

Full time

Exempt/Non-Exempt

Exempt

Job Family Group

Data

Line of Business  

TECH Technology