Associate Data Scientist

Ameriprise • Minneapolis, MN

3d • $71,300 - $96,000

About The Position

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

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees