Senior Data Scientist

On-siteSeniorData Scientistposted 1mo ago

✦Role summaryAI-generated

This role at Navy Federal Credit Union focuses on leveraging financial and member data to build impactful predictive and prescriptive models that drive strategic business decisions across the organization. The successful candidate will collaborate with cross-functional teams to optimize processes, develop innovative products, and deliver actionable insights with moderate autonomy.

About this role

Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science.

Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline.

Responsibilities

Design, develop, and evaluate moderately complex predictive models and advanced algorithms
Identifies meaningful insights from large data and metadata sources
Test hypotheses/models, 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 understanding of best practices and ethical AI
Transform data into charts, tables, or format that aids effective decision making
Build working relationships with team members and subject matter experts
Lead small projects and initiatives
Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders

Qualifications

Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
3-5 years of experience in exploratory data analysis
Basic understanding of business and operating environment
Statistics
Programming, data modeling, simulation, and advanced mathematics
SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
Model lifecycle execution
Technical writing
Data storytelling and technical presentation skills
Research Skills
Interpersonal Skills
Working 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.)
Sound Judgment
Problem Solving (Responds as problems and issues are identified)