Data Scientist – Fraud Analytics

Unchain Data; Austin (TX); On-site; USD 80,000 - 100,000; Full time

Job summary

Unchain Data is seeking qualified candidates for data-intensive investigations related to financial fraud. The role requires strong quantitative backgrounds and involves planning, analyzing large datasets, and presenting findings.

Candidates should have over 3 years of relevant experience, and familiarity with R, Python, and SQL is essential. The position offers an opportunity to work in a collaborative environment focused on tackling complex data-driven projects.

Qualifications

• 3+ years of relevant work experience.
• Demonstrated experience with R, Python, and/or SQL.
• Strong teamwork abilities.

Responsibilities

• Plan, develop, and take ownership in data-intensive investigations.
• Summarize and present findings to technical and non-technical audiences.
• Anticipated to grow toward managing projects and communicating with clients.

Skills

R

Python

SQL

Attention to detail

Teamwork abilities

Education

Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field

Job description

Unchain Data is seeking qualified candidates for data-intensive investigations related to financial fraud. The role requires strong quantitative backgrounds and involves planning, analyzing large datasets, and presenting findings.

Candidates should have over 3 years of relevant experience, and familiarity with R, Python, and SQL is essential. The position offers an opportunity to work in a collaborative environment focused on tackling complex data-driven projects.