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Principal Data Scientist - Navy Federal Credit Union
Data Scientist
Lead advanced data science initiatives for a consumer insights institute, building monthly trackers and deep‑dive analyses using machine learning, statistical modeling, and large‑scale data pipelines.
About the role
Key Responsibilities
- Design, develop, and maintain a monthly consumer tracker that synthesizes member data, macroeconomic indicators, and behavioral trends.
- Lead quarterly deep‑dive studies on topics such as housing, military benefits, and tax refunds, delivering actionable insights to senior leadership.
- Build and productionize machine‑learning models and statistical analyses to forecast member behavior and identify emerging market opportunities.
- Collaborate with data engineers to create scalable data pipelines on cloud platforms (e.g., AWS) and ensure data quality and governance.
- Mentor junior data scientists and act as deputy leader for the institute, shaping research agenda and best‑practice standards.
Requirements
- 10+ years of professional experience in data science, machine learning, or advanced analytics.
- Expertise in Python, SQL, and cloud‑based data platforms (AWS, Snowflake, etc.).
- Proven track record delivering statistical models, predictive analytics, and data visualizations that drive business decisions.
- Strong communication skills to translate complex findings into clear, actionable recommendations for non‑technical stakeholders.
- Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Economics, or a related quantitative field.
Skills
pythonmachine learningsqlaws