Principal Data Scientist (Credit Risk for Small Business and Commercial)
Fa Etbx Saasfaprod1 Open At a glance
Senior Data Science role at Fa Etbx Saasfaprod1. Vienna · full-time · no salary stated · we estimate $148,247–$205,000 across the United States.
Fa Etbx Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and assess complex predictive models and algorithms using small-business lending, credit, cash-flow and transaction data
- Turn exploratory analysis into recommendations for underwriting, risk segmentation, pricing and portfolio decisions
- Work with senior leaders and lending partners to shape product and credit strategies with analytical findings
- Lead substantial projects, present results to varied audiences and mentor other analysts
- Develop automated analytical programs and promote responsible modeling practices
What you bring
- At least six years of relevant experience and a bachelor's degree in a quantitative discipline
- Strong grounding in statistics, machine learning, data mining and model lifecycle work
- Programming experience with SQL, Python or another listed language, plus experience handling large datasets
- Clear technical writing and presentation skills for explaining analytical findings
Who this fits
This senior role suits an experienced data scientist who can work independently, guide complex projects and develop analytical talent. You’ll work Monday through Friday, from 8:00 a.m. to 4:30 p.m., at the Vienna, Virginia location.
From the employer
Provide strategic data science, machine learning, and advanced analytics leadership to inform mission-critical decisions across the organization, with a primary focus on small business lending. Leverage small business credit, application, financial statement, cash flow, transaction, and performance data to shape underwriting, risk segmentation, pricing, portfolio management, and the end-to-end member lending experience. Partner with senior leaders and cross-functional stakeholders to identify high-impact opportunities, influence product and credit strategies, and translate complex data into scalable analytical solutions, actionable insights, and measurable business outcomes. Advance the organization’s analytical capabilities through descriptive, predictive, and prescriptive modeling and the responsible application of leading data science techniques. Operate as a trusted advisor and advanced practitioner, leading complex initiatives with broad independent judgment and developing analytical talent across the team.
- Design, develop, and evaluate large and complex predictive models and advanced algorithms
- Test hypotheses/models, analyze, and interpret results
- Develop actionable insights and recommendations
- Develop and code complex software programs, algorithms, and automated processes
- Use evaluation, judgment, and interpretation to select right course of action
- Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors
- Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
- Transform data into charts, tables, or format that aids effective decision making
- Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders
- Develop and maintain strong working relationships with team members, subject matter experts, and leaders
- Lead moderate to large projects and initiatives
- Model best practices and ethical AI
- Works with senior management on complex issues
- Assist with the development and enhancement practices, procedures, and instructions
- Serve as technical resource for other team members
- Mentor lower levels
- 6+ years of experience with requisite competencies
- Complete knowledge and full understanding of specialization
- Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization
- Programming, data modeling, simulation, and advanced mathematics
- SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
- Model lifecycle execution
- Technical writing
- Data storytelling and technical presentation skills
- Research Skills
- Interpersonal Skills
- Advanced knowledge of procedures, instructions and validation techniques
- Model Development
- Communication
- Critical Thinking
- Collaborate and Build Relationships
- Initiative with sound judgement
- Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
- Independent Judgment
- Problem Solving (Identifies the constraints and risks)
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields
Desired Qualifications
- Master’s or doctoral degree in data science, statistics, mathematics, computer science, engineering, or a related quantitative discipline
- Demonstrated success applying data science, machine learning, or advanced analytics to small business banking, commercial lending, or small business lending strategies
- Deep experience designing and implementing analytical solutions across the lending lifecycle, including originations, underwriting, credit decisioning, pricing, account management, portfolio monitoring, and collections
- Strong command of small business credit risk, cash flow underwriting, commercial credit data, financial statements, transaction data, and alternative data sources
- Proven ability to influence senior leaders and partner across lending product, credit risk, underwriting, operations, and model risk to translate analytical insights into strategic business decisions
Additional Information
Hours:
- Monday - Friday, 8:00AM - 4:30PM
Location:
- 820 Follin Lane, Vienna, VA 22180
Data Science work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Science
Find me workBy the team behind dataroles.