Greetings!

Our client Navy Federal Credit Union is the world's largest credit union with over 10 million members, over $149 billion in assets, and over 23,000 employees.

Our client is seeking a Data Scientist-15568-Hybrid in Vienna VA. You seem to have a rock-solid profile and your overall background seems to be a great match for the position.

Please review the below information for clarity on the position description.

Description

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 stakeholders

Qualifications

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 DevelopmentCommunication Critical 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 : Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering