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Data Scientist I/II (Savings and Membership)

Navy Federal Credit Union

Job detailsSalary$87,800 – $185,200 a yearJob TypeFull-timeFull Job Description

You have goals, dreams, hobbies and things youre passionate about.
Whats Important to You Is Important to Us Were looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to themfriends, family and passions. And we’re looking for team members who are passionate about our missionmaking a difference in military members’ and their families’ lives. Together, we can make it happen.
Dont take our word for it.

Military Times 2021 Best for Vets Employers
WayUp Top 100 Internship Programs
Forbes 2022 The Best Employers for New Grads
Forbes America’s Best Employers
Newsweek Top 100 Most Loved Workplaces
Fortune Best Workplaces for Women
Fortune 100 Best Companies to Work For
Computerworld Best Places to Work in IT

Basic Purpose

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.


Support the delivery of strategic advanced analytics solutions across the organization with solutions drawing on descriptive, predictive, and prescriptive analytics and modeling
Leverage a broad set of modern technologies including Python, R, Scala, and Spark to analyze and gain insights within large data sets
Manage, architect, and analyze big data in order to build data driven insights and high impact data models
Evaluate model design and performance and perform champion/challenger development. Analyze model input data, assumptions, and overall methodology.
Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events
Provide analytics insights and solutions to solve complex business problems
Apply business knowledge and advanced statistical modeling techniques when building data structures and tools
Collaborate with other team members, subject matter experts, pods, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment
Examine data from multiple sources and share insights with leadership and stakeholders
Transform data presented in models, charts, and tables into a format that is useful to the business and aids in effective decision making
Point of contact between the data analyst/data engineer and the project/functional analytics leads
Develop and maintain an understanding of relevant industry standards, best practices, business processes and technology used in modeling and within the financial services industry
Identify improvements to the way in which analytics service the entire function
Recognize potential issues and risks during the analytics project implementation and suggest mitigation strategies
Prepare project deliverables that are valued by the business and present them in such a manner that they are easily understood by project stakeholders
Perform other duties as assigned


Masters degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field, or the equivalent combination of education, training and experience
Ability to understand complex business problems and determine what aspects require optimization and articulate those aspects in a clear and concise manner
Advanced skill in communicating actionable insights using data to technical and non-technical audiences
Proven experience working in a dynamic, research-oriented groups with several ongoing concurrent projects
Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau
Ability to manipulate raw data within visualization tools to create effective dashboards that communicate end-to-end data outcomes visually
Proficient in storytelling with data skills
Exceptional technical writing skills
Advanced skill communicating thoughts, concepts, practices effectively at all levels, adjusting as needed to a target audience
Advanced verbal, interpersonal and written communication skills
Advanced database, word processing, spreadsheet, and presentation software skills (e.g., Microsoft Access, Excel, PowerPoint, etc.)
Moderate skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
Experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
Working knowledge of advanced techniques such as: SMOTE, dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
Demonstrates a deep understanding of the modeling lifecycle
Moderate skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
Skill interpreting, extrapolating, and interpolating data for statistical research and modeling
Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
Advanced skill in Python, R, and/or Scala
Moderate skill in SQL and querying (able to pull/transform your own data)
Knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
Familiar with Data Engineering concepts
Familiar with the use of standard ETL tools and techniques
Familiar with the concepts and application of data mapping and building requirements
Demonstrates a deep understanding of multiple data related concepts
Familiar with Data Integration, Data Governance and Data Warehousing
Moderate skill in Data Management, Data Validation & Cleansing and Information Analysis

Desired Qualifications and Education Requirements

Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field
Working knowledge of Navy Federal Credit Union instructions, standards, and procedures
Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management

Hours: Monday – Friday, 8:00AM – 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180 | 5550 Heritage Oaks Dr. Pensacola, FL 32526 | 141 Security Dr. Winchester, VA 22602

Navy Federal is now hybrid! Our standard enterprise requirement for a hybrid schedule is to report on-site 4-16 days each month. The number of days reporting on-site will ultimately be determined by the employee’s leadership and business unit needs. You will learn more throughout the hiring and on boarding process.

Salary Range: $87,800 – $185,200 annually

Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position.

Posting End Date: 02/24/2023

Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring teams discretion based on qualified applicant volume.

Equal Employment Opportunity
Navy Federal values, celebrates, and enacts diversity in the workplace. Navy Federal takes affirmative action to employ and advance in employment qualified individuals with disabilities, disabled veterans, Armed Forces service medal veterans, recently separated veterans, and other protected veterans. EOE/AA/M/F/Veteran/Disability Disclaimer Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Bank Secrecy Act Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
Hiring InsightsJob activityPosted 12 days ago

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