Senior Data Scientist

Navy Federal Credit Union•Pensacola, FL

9d•$99,400 - $155,850•Onsite

About The Position

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission-critical decision-making across the organization. Understand business needs and identify opportunities for new products, services, and process optimization using data science. Create descriptive, predictive, and prescriptive models and insights to drive organizational impact. The role performs assignments of increasing complexity under moderate supervision, with some latitude for independent judgment, and requires moderate skill and proficiency in the discipline. The team supports consumer loan campaigns and initiatives—including mortgage, auto, personal, and student loans—and builds rule-based models to provide insights to members. The role leads campaign analysis for an assigned value stream, develops models and algorithms, and communicates findings to stakeholders and executives.

Requirements

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field.
3–5 years of experience in exploratory data analysis.
Proficiency in data visualization using Power BI, Excel, and Tableau.
Marketing experience.
Experience leading end-to-end campaign analysis and performing trend analysis.
Experience working with stakeholders and extracting core KPIs to inform analysis and business decisions.
Foundational understanding of data trends that can influence future campaign performance.
Basic understanding of business and the operating environment.
Knowledge of statistics, programming, data modeling, simulation, and advanced mathematics.
Knowledge or experience with SQL, R, Python, Hadoop, SAS, SPSS, Scala, and AWS.
Model lifecycle execution.
Technical writing, data storytelling, and technical presentation skills.
Ability to manage stakeholders.
Research, interpersonal, communication, critical-thinking, and problem-solving skills.
Working knowledge of procedures, instructions, and validation techniques.
Model development skills.
Ability to collaborate, build relationships, and take initiative with sound judgment.
Technical skills, including big data analysis, coding, project management, and technical writing.
Ability to respond to problems and issues as they are identified.
Authorization to work in the United States without current or future sponsorship.

Nice To Haves

Master's or PhD degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering.
Familiarity with reporting and analysis using multi-touch attribution (MTA) and last-touch attribution (LTA).

Responsibilities

Design, develop, and evaluate moderately complex rule-based models and advanced algorithms.
Support the assigned value stream as lead analyst for assigned campaigns.
Identify meaningful insights from large data and metadata sources to shape stakeholder strategy and provide data-driven recommendations.
Test hypotheses and models, and analyze and interpret results.
Exercise sound judgment and discretion within defined procedures and practices.
Develop and code moderately complex software programs, algorithms, and automated processes.
Use modeling and trend analysis to analyze data and provide insights.
Develop an understanding of best practices and ethical AI.
Transform data into charts, tables, or other formats that support effective decision-making.
Build working relationships with team members and subject matter experts.
Lead projects and initiatives of various sizes from kickoff to handoff.
Document and present analysis findings to diverse stakeholders and executives using effective written and verbal communication.