Data Scientist role emphasizing business insights and collaboration in insurance analytics. Involves working with clients and analyzing data for problem solving in various functional areas.
NU
Hybrid Principal Data Scientist – Credit Risk Insights, Analysis
Posted 3 months ago
About the role
- Principal Data Scientist providing insights and analysis for credit risk decision-making at Navy Federal. Utilizing data science and machine learning for process optimizations and business objectives.
Responsibilities
- Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support credit risk decision-making
- Understand business needs and identify opportunities for process optimization to meet business objectives using cutting-edge data science
- Regarded as an advanced professional in the data science field who can conduct complex work under minimal supervision and with wide latitude for independent judgment
- The role requires strong analytical skills, proficiency in data visualization tools, and the ability to communicate complex insights effectively
Requirements
- 6+ years of working experience with requisite competencies
- Complete knowledge and full understanding of specialization
- Statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization
- Programming, data modeling, simulation, and advanced mathematics
- SQL, R, Python, Hadoop, SAS, SPSS, Databricks, Scala, AWS
- Tableau, Power BI, or related data visualization tools
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research Skills
- Interpersonal Skills
- Advanced knowledge of procedures, instructions and validation techniques
- Model Development
- Communication
- Critical Thinking
- Collaborate and Build Relationships
- Initiative with sound judgement
- Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
- Independent Judgment
- Problem Solving (Identifies the constraints and risks)
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
- **Desired Qualification(s)**
- Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Benefits
- Competitive pay
- Generous benefits and perks
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