Branch Operations is hiring a Data Scientist to provide independent data science, machine learning, and advanced analytical insights. In this role, you will use member, financial, and organizational data to support mission-critical decision-making across the enterprise. You will partner with business units to translate needs into analytical solutions and identify opportunities for new products, services, and process optimization.
What You'll Do
- Design and develop analytical solutions, segmentation logic, and moderately complex algorithms to support member analytics and enterprise decision-making
- Identify meaningful insights from large, complex member, financial, and organizational data and metadata sources
- Apply analytical techniques, trend analysis, and exploratory methods to interpret data and generate actionable insights
- Use analytical modeling and trend analysis to assess patterns in member behavior, performance, and outcomes
- Apply and promote best practices related to responsible analytics and ethical use of data and AI
- Transform complex analytical results into clear charts, tables, and data products that support effective decision-making
- Build strong working relationships with team members, business partners, and subject matter experts
- Lead potentially high-impact projects or workstreams, contributing technical direction and analytical expertise
- Communicate findings through effective written and verbal documentation and presentations to a diverse set of stakeholders, including senior leadership or executive level
What We're Looking For
- 3+ years of experience in exploratory data analysis
- Advanced understanding of business and operating environment
- Knowledge of statistics, programming, data modeling, simulation, and advanced mathematics
- Experience with large data environments and modern analytical tools
- Experience with model lifecycle execution, including model development, testing, and validation
- Experience presenting analytical findings and insights to audiences with varying technical backgrounds
- Strong data storytelling and technical presentation skills, including experience creating presentation materials in PowerPoint
- Experience documenting analytical work, technical documentation, and drafting SOPs
- Strong research, analytical, and critical thinking skills
- Ability to collaborate and build relationships across technical and business teams
- Strong problem solving skills and sound judgment when responding to issues and opportunities
- Technical skills including big data analysis, coding, project management, and technical writing
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field
Nice to Have
- Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, or similar quantitative discipline
- Experience working in consulting or highly cross-functional analytical environments
- Experience owning analytical projects or leading small analytical initiatives
- Experience working in cloud or distributed data environments
Work Mode
This is an onsite position located at 820 Follin Lane, Vienna, VA 22180.
All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
