Data Science Web3 Jobs in Austin, Texas, United States

15 jobs found

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Job Position Company Posted Location Salary Tags

Integra

Austin, TX, United States

$88k - $103k

Gemini

Austin, TX, United States

$136k - $170k

Fortress Trust

Austin, TX, United States

$32k - $64k

Fortress Trust Company

Austin, TX, United States

$32k - $64k

Fortress Web3 Technologies

Austin, TX, United States

$32k - $64k

Pocket Worlds

Austin, TX, United States

Flippa

Austin, TX, United States

$91k - $156k

BitGo

Austin, TX, United States

$28k - $75k

Newton

Austin, TX, United States

$91k - $156k

Stellar Development Foundation

Austin, TX, United States

$43k - $75k

BitGo

Austin, TX, United States

$45k - $90k

Gemini

Austin, TX, United States

$98k - $108k

Celsius

Austin, TX, United States

$32k - $76k

Celsius

Austin, TX, United States

$30k - $70k

Celsius

Austin, TX, United States

$91k - $96k

Integra
$88k - $103k estimated
Austin, Texas
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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.  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:  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