Senior Principal Data Scientist (Marketing Data Specialist)

Navy Federal Credit Union; Virginia (MN); On-site; USD 150,000 - 190,000; Full time

Job summary

Navy Federal Credit Union seeks a senior data scientist to provide analytical insight from organizational data to support mission-critical decision making. Design and develop predictive models and advanced algorithms to optimize business results. Lead complex technical projects, mentor staff, and advise senior leaders on insights.

Requires 10+ years of experience and advanced degrees in quantitative fields. Vienna-area location with standard business hours.

Qualifications

• 10+ years of relevant experience
• In-depth professional knowledge, acumen, and concepts
• Requires specialized skill set
• Solid understanding of business dynamics and strategy
• Statistics, machine learning, programming, data modeling, simulation, trend analysis, visualization, and advanced mathematics to recognize patterns
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Project Management skills
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Mentoring
• Model Development
• Communication
• Critical Thinking
• Thought Leadership
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Independent Judgment (Extensive)
• Problem Solving (Recognizes potential issues and risks for long term implications)
• Masters Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Responsibilities

• Direct existing principles and guide development of new policies
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• Identify opportunities, pose business questions, and make valuable discoveries
• Generate and test hypotheses, analyze and interpret the results
• Develop and code the most complex software programs, algorithms, and automated processes
• Translate complex business and technical needs into technological objectives
• Utilize effective written and verbal communication to document and present findings to stakeholders in support of critical decision making
• Recognized as subject matter expert and advanced individual contributor professional
• Maintain and foster strong working relationships with team members, subject matter experts, and senior leaders
• Research and apply new best practices and ethical AI
• Advise senior leaders on analytical insights and solutions to solve business problems
• May lead complex technical projects and initiatives with significant impact
• Lead the development and enhancement practices, procedures, and instructions
• Serve as lead technical resource for other team members
• Mentor and assist leading lower levels

Skills

Statistics

Machine learning

Programming

Data modeling

Visualization

Critical thinking

Problem solving

Data storytelling

Education

Masters Degree in Data Science / Statistics / Mathematics / Computer Science / Engineering

PhD in Data Science / Statistics / Mathematics / Computer Science / Engineering

Tools

SQL

R

Python

Hadoop

SAS

SPSS

Scala

AWS

Job description

Description

Provide analytical insight from organizational data to support mission critical decision making. Understand business needs and identify opportunities for new products and services to meet business objectives. Design and develop sophisticated predictive models and advanced algorithms to drive decisions and optimize business results. Devise testing of business data to draw conclusion for statistical significance at various confidence levels. Regarded as an industry expert in the data science field. Conduct highly complex work, unsupervised and with extensive latitude for independent judgment. Progression to this level is typically restricted on the basis of business requirement.

Responsibilities

• Direct existing principles and guide development of new policies
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• Identify opportunities, pose business questions, and make valuable discoveries
• Generate and test hypotheses, analyze and interpret the results
• Develop and code the most complex software programs, algorithms, and automated processes
• Translate complex business and technical needs into technological objectives
• Utilize effective written and verbal communication to document and present findings to stakeholders in support of critical decision making
• Recognized as subject matter expert and advanced individual contributor professional
• Maintain and foster strong working relationships with team members, subject matter experts, and senior leaders
• Research and apply new best practices and ethical AI
• Advise senior leaders on analytical insights and solutions to solve business problems
• May lead complex technical projects and initiatives with significant impact
• Lead the development and enhancement practices, procedures, and instructions
• Serve as lead technical resource for other team members
• Mentor and assist leading lower levels

Qualifications

• 10+ years of relevant experience
• In-depth professional knowledge, acumen, and concepts
• Requires specialized skill set
• Solid understanding of business dynamics and strategy
• Statistics, machine learning, programming, data modeling, simulation, trend analysis, visualization, and advanced mathematics to recognize patterns
• SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
• Project Management skills
• Model lifecycle execution
• Technical writing
• Data storytelling and technical presentation skills
• Research Skills
• Interpersonal Skills
• Mentoring
• Model Development
• Communication
• Critical Thinking
• Thought Leadership
• Initiative with sound judgement
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Independent Judgment (Extensive)
• Problem Solving (Recognizes potential issues and risks for long term implications)
• Masters Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

• PhD in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Additional Information

Hours

• Monday - Friday, 8:00AM - 4:30PM

Locations

• 820 Follin Lane, Vienna, VA 22180