Lead Data Scientist (hybrid)

Securian Financial

Saint Paul, US
Base: $111,300.00 - $207,800.00; bonus/equity: not...
Hybrid (3 days in-office, 2 days remote)
Advanced machine learning and ai models
Mlops best practices
Ai and generative ai solutions
Securian Financial is seeking a Lead Data Scientist to apply advanced analytical and machine learning skills to solve complex problems within the organization. The role emphasizes collaboration, leadership, and the implementation of AI and machine learning best practices

Job Summary

  • As a Lead Data Scientist, you will be a recognized expert and technical leader, applying deep analytical and machine learning expertise to solve complex enterprise problems while shaping the technical direction of data science and AI initiatives.
  • You will play a key role in advancing enterprise AI and advanced analytics capabilities, influencing tooling standards, MLOps practices, and responsible AI adoption across the organization.
  • Securian Financial offers a supportive and inclusive environment where diverse perspectives are encouraged and professional growth is prioritized, along with a comprehensive range of benefits.

Matching Summary

Match Score: 85

Securian Financial is seeking a Lead Data Scientist to apply advanced analytical and machine learning skills to solve complex problems within the organization. The role emphasizes collaboration, leadership, and the implementation of AI and machine learning best practices.

Salary

Base: $111,300.00 - $207,800.00; Bonus/Equity: Not specified; Benefits: Comprehensive range of benefits including PTO, pension plan, 401(k), health insurance, volunteer time, and Associate Resource Groups.

Skills & Requirements

Must-have

  • advanced machine learning and AI models
  • MLOps best practices
  • AI and generative AI solutions
  • LLM-based systems
  • Python programming language
  • machine learning frameworks

Nice-to-have

  • responsible AI adoption
  • continuous learning
  • teamwork-oriented environment
  • cross-functional collaboration

Key Requirements

  • Master's or PhD degree
  • 5+ years of experience in data science
  • 2+ years in a project leadership role
  • Experience building and deploying production solutions
  • Experience with MLOps tools and practices
  • 2+ years of experience in Insurance
  • Proficiency in Python
  • Experience with cloud platforms
  • Solid understanding of statistical analysis
  • Solid understanding of model approaches for regulatory requirements

Work Rights

Not specified

Tailored Resume

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