Dice
Data Scientist / Senior Data Scientist (Financial Risk Modeling)
Dice, Vienna, Virginia, United States, 22184
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Navy Federal Credit Union, is seeking the following. Apply via Dice today!
Overview
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 algorithmsIdentifies meaningful insights from large data and metadata sourcesTest hypotheses/models, analyze, and interpret resultsExercise sound judgment and discretion within defined procedures and practicesDevelop and code moderately complex software programs, algorithms, and automated processesUse modeling and trend analysis to analyze data and provide insightsDevelop understanding of best practices and ethical AITransform data into charts, tables, or format that aids effective decision makingBuild working relationships with team members and subject matter expertsLead small projects and initiativesUtilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholdersQualifications
3-5 years of experience in exploratory data analysisBasic understanding of business and operating environmentStatisticsProgramming, data modeling, simulation, and advanced mathematicsSQL, R, Python, Hadoop, SAS, SPSS, Scala, AWSModel lifecycle executionTechnical writingData storytelling and technical presentation skillsResearch SkillsInterpersonal SkillsWorking knowledge of procedures, instructions, and validation techniquesModel DevelopmentCommunicationCritical ThinkingCollaborate and Build RelationshipsInitiative with sound judgementTechnical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)Sound JudgmentProblem Solving (Responds as problems and issues are identified)Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fieldsDesired Qualification(s)
Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or EngineeringHours:
Monday - Friday, 8:30AM - 5:00PMLocation:
820 Follin Lane, Vienna, VA 22180About Us
You have goals, dreams, hobbies, and things you're passionate about-what's important to you is important to us. We're 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 them-friends, family, and passions. And we're looking for team members who are passionate about our mission-making a difference in military members' and their families' lives. Together, we can make it happen.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/DisabilityDisclaimers: 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.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
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Overview
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 algorithmsIdentifies meaningful insights from large data and metadata sourcesTest hypotheses/models, analyze, and interpret resultsExercise sound judgment and discretion within defined procedures and practicesDevelop and code moderately complex software programs, algorithms, and automated processesUse modeling and trend analysis to analyze data and provide insightsDevelop understanding of best practices and ethical AITransform data into charts, tables, or format that aids effective decision makingBuild working relationships with team members and subject matter expertsLead small projects and initiativesUtilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholdersQualifications
3-5 years of experience in exploratory data analysisBasic understanding of business and operating environmentStatisticsProgramming, data modeling, simulation, and advanced mathematicsSQL, R, Python, Hadoop, SAS, SPSS, Scala, AWSModel lifecycle executionTechnical writingData storytelling and technical presentation skillsResearch SkillsInterpersonal SkillsWorking knowledge of procedures, instructions, and validation techniquesModel DevelopmentCommunicationCritical ThinkingCollaborate and Build RelationshipsInitiative with sound judgementTechnical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)Sound JudgmentProblem Solving (Responds as problems and issues are identified)Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fieldsDesired Qualification(s)
Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or EngineeringHours:
Monday - Friday, 8:30AM - 5:00PMLocation:
820 Follin Lane, Vienna, VA 22180About Us
You have goals, dreams, hobbies, and things you're passionate about-what's important to you is important to us. We're 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 them-friends, family, and passions. And we're looking for team members who are passionate about our mission-making a difference in military members' and their families' lives. Together, we can make it happen.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/DisabilityDisclaimers: 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.Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.
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