Data Science Sr Analyst (hybrid)

Securian Financial

Saint Paul, US
Base: $72,000.00 - $134,000.00; bonus/equity: not ...
Hybrid (3 days onsite, 2 days remote)
Deploying production ai/ml models
Python and aws sagemaker
Operationalized data science solutions
Securian Financial is seeking a Data Science Sr Analyst to develop and optimize AI-driven solutions that enhance operational efficiency and decision support across various business functions. The role requires strong proficiency in Python and experience with cloud environments, particularly AWS SageMaker, to support the deployment and monitoring of production AI models

Job Summary

  • As an Operational Support Data Scientist, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions.
  • Responsibilities include enhancing existing AI/ML solutions, deploying and managing solutions using cloud-native tools, monitoring model performance, and collaborating with cross-functional stakeholders.
  • Securian Financial offers a comprehensive range of benefits including a company-funded pension plan, 401(k), health insurance, paid time off, and volunteer time.

Matching Summary

Match Score: 85

Securian Financial is seeking a Data Science Sr Analyst to develop and optimize AI-driven solutions that enhance operational efficiency and decision support across various business functions. The role requires strong proficiency in Python and experience with cloud environments, particularly AWS SageMaker, to support the deployment and monitoring of production AI models.

Salary

Base: $72,000.00 - $134,000.00; Bonus/Equity: Not specified; Benefits: Comprehensive range of benefits

Skills & Requirements

Must-have

  • Deploying production AI/ML models
  • Python and AWS SageMaker
  • Operationalized data science solutions
  • Statistical modeling and machine learning
  • Explain technical concepts clearly
  • Responsible and unbiased AI development

Nice-to-have

  • MLOps practices and automation
  • Regulated industries experience

Key Requirements

  • 2+ years of hands-on experience
  • Experience supporting AI solutions in production
  • Familiarity with MLOps practices

Work Rights

Not specified

Tailored Resume

Cover Letter