Leverage data to drive business outcomes that align with Securian's Enterprise Data Strategy Vision and Operating Principles.
Work closely with Digital, Marketing, Sales, and Servicing stakeholders to understand business needs.
Apply a variety of analysis, visualization, and modeling techniques to address business needs.
Use data to solve complex business problems across the organization.
Deploy models and solutions that have a measurable impact on company’s revenue, profitability, and overall customer experience/satisfaction.
Requirements
Proven experience developing, testing, and deploying production models in a cloud environment.
Proven experience working with industry standard technologies like RStudio, Python, AWS Sagemaker, GitHub, Docker, etc.
Strong technical background to ensure proper application of statistical models/algorithms.
Ability to clearly articulate and explain complex data science algorithms, models, and results to stakeholders of varying technical background and understanding.
Strong moral and ethical compass, ensuring we provide fair, unbiased solutions that don’t harm our customers, associates, or our company/brand.
2+ years data science / machine learning experience.
Experience deploying cloud solutions a plus.
Tech Stack
AWS
Cloud
Docker
Python
Benefits
Paid time off: We want you to take time off for what matters most to you.
Leave programs: Securian’s flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.
Holidays: Securian provides nine company paid holidays.
Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company.
Health insurance: From the first day of employment, associates and their eligible family members – including spouses, domestic partners and children – are eligible for medical, dental and vision coverage.
Volunteer time: We know the importance of community.
Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs.