Data Science Web3 Jobs in North America

492 jobs found

web3.career is now part of the Bondex Logo Bondex Ecosystem

Receive emails of Data Science Web3 Jobs in North America
Job Position Company Posted Location Salary Tags

Integra

Austin, TX, United States

$88k - $103k

Keyfactor

United States

$80k - $100k

Brillio

Phoenix, AZ, United States

$130k - $140k

Whatnot

San Francisco, CA, United States

$153k - $225k

Zap

Columbus, OH, United States

$90k - $150k

Figment

Canada

$85k - $115k

Whatnot

New York, NY, United States

$126k - $200k

Kraken

San Francisco, CA, United States

$76k - $90k

Flashbots

United States

$98k - $102k

Whatnot

San Francisco, CA, United States

$180k - $275k

Kraken

United States

$91k - $150k

Figment

Canada

$115k - $145k

Kraken

United States

$36k - $54k

Windranger Labs

United States

$36k - $75k

Reservoir

United States

$90k - $145k

Integra
$88k - $103k estimated
Austin, Texas
Apply

Integra is hiring entrepreneurial and quantitatively-skilled graduates with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems.Ā  Main responsibilities include:

Plan, develop, and take ownership in data-intensive investigations of financial fraud Conduct background research to develop hypotheses of where fraud occurs Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs Summarize and present findings to technical and non-technical audiences

Job Qualifications:Ā  Required

Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities

Preferred

Excellent skills in R, Python, and/or SQL Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts Demonstrated aptitude for research

Ā  Ā