Data Science Web3 Jobs in North America
492 jobs found
web3.career is now part of the Bondex Ecosystem
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 | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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 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
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