Deliver impact and value through the design and management of machine learning (ML) ETL processes, architecture, and data modeling to promote machine learning at scale. Collaborate with the data science and other development teams to ensure model productionalization is scalable repeatable, and automatable. Partner with internal stakeholders to understand business and technical needs. Communicate and present analytics results and concepts to leadership and internal stakeholders. Stay current on cutting edge research for ML and AI technology and concepts. Individual contributor working both in a team and on individual assignments.

• Support the use of data to drive machine learning ETL pipeline design, architecture, data modeling, and machine learning at scale
• Code and develop software that deploys machine learning models and algorithms into production
• Perform data ETL, statistical and analytical analyses, and communicate insights and recommendations to internal and external clients
• Perform algorithmic analysis to optimize runtime performance and other improvements
• Identify patterns in complex structured and unstructured data and optimize ETL processes
• Leverage machine learning algorithms to optimize and deliver results by reducing computational complexity and increasing the accuracy of models and improving on business metrics.
• Provide insights and work through the lifecycle of delivering and scaling of these insights into Production
• Support the implementation of strategies to assess data quality throughout the software development life cycle
• Advise on best practices for software engineering for data applications with an emphasis on statistical modeling, machine learning, advanced analytics, and/or Artificial Intelligence
• Design data models or feature stores around large-scale data for machine learning use cases
• Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
• Support the creation of a data-driven culture, driving business decisions via insights from data
• Identify and compare technologies to address new enterprise needs, especially around performing machine learning at scale
• Participate in or support the preparation of high quality 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
• Participate in or support the preparation of high quality 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

• Exposure to designing and implementing large scale data loading, manipulation, processing, exploration solutions using Hadoop/NoSQL technologies etc.
• Background in machine learning, distributed systems design, statistics, or quantitative analysis
• Experience working with raw as well as prepared structured and unstructured data
• Familiarity with Apache Spark, PySpark, Azure Data Factory, Azure Databricks, Azure DevOps, Azure ML (Machine Learning), Hadoop, Hive (Apache), Informatica, Microsoft Azure, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products Operation Data Integration (OLTP), Teradata and Python
• Experience in developing sophisticated algorithms to automate processes and tasks
• Working knowledge of current AI and ML technologies and concepts
• Familiar with enterprise data strategies and tools used for vast solutions
• Experience communicating and presenting complex analytics results and concepts to leadership and internal stakeholders
• Demonstrates basic change management and effective communication skills
• Bachelor's degree in Computer Science, Statistics, Engineering or related field, or the equivalent combination of education, training and experience

Desired Qualifications

• Knowledge of Navy Federal Credit Union instructions, standards, and procedures
• Master's degree in Computer Science, Statistics, Engineering or related field, or the equivalent combination of education, training and experience

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

Location: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive Pensacola, FL 32526

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks.

• Best Companies for Latinos to Work for 2024
• Computerworld® Best Places to Work in IT
• Forbes® 2024 America’s Best Large Employers
• Forbes® 2023 The Best Employers for New Grads
• Fortune Best Workplaces for Millennials™ 2023   
• Fortune Best Workplaces for Women ™ 2023       
• Fortune 100 Best Companies to Work For® 2024
• Military Times 2023 Best for Vets Employers
• Newsweek Most Loved Workplaces 
• Ripplematch Campus Forward Award - Excellence in Early Career Hiring
• Yello and WayUp Top 100 Internship Programs

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union.

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 EOE/AA/M/F/Veteran/Disability

Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process.

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

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.