Data Scientist - Fraud & Risk Analytics (Remote)

Elder Research; United States; Hybrid; USD 120,000 - 150,000; Full time

Job summary

Elder Research, Inc. seeks a Data Scientist to join our team in Arlington, VA, with a remote/hybrid arrangement preferred for the Washington DC area. You will develop predictive models, analyze large datasets, and collaborate with IRS stakeholders to drive fraud prevention and risk scoring initiatives.

The role requires strong Python/SQL skills, experience with Databricks, and the ability to present technical findings to diverse audiences. IRS clearance and on-site travel may be required.

Qualifications

• Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
• 2-10+ years of experience in data science, analytics, or a related technical field
• Experience using version control systems (e.g., Git) and collaborative development practices
• Strong understanding of relational databases and SQL
• Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
• Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
• Willingness to travel and work on-site at client locations as required by project needs

Responsibilities

• Develop, test, and deploy predictive and statistical models using structured and unstructured data
• Use Python, SQL, and Databricks for data analysis and modeling
• Explore, clean, and wrangle large, complex datasets to uncover insights for IRS stakeholders
• Design and implement quantitative and qualitative data science solutions with robust testing
• Apply supervised and unsupervised learning techniques for anomaly detection and risk scoring
• Collaborate with clients and cross-functional teams to refine problem statements
• Prepare and deliver technical and non-technical briefings and presentations

Skills

Python

R

SQL

Databricks

Markdown

Data analysis

Statistical modeling

Machine learning

Data wrangling

Communication

Education

Bachelor's degree in statistics/computer science/analytics

Tools

Git

Job description

Elder Research, Inc. seeks a Data Scientist to join our team in Arlington, VA, with a remote/hybrid arrangement preferred for the Washington DC area. You will develop predictive models, analyze large datasets, and collaborate with IRS stakeholders to drive fraud prevention and risk scoring initiatives.

The role requires strong Python/SQL skills, experience with Databricks, and the ability to present technical findings to diverse audiences. IRS clearance and on-site travel may be required.