Job Position | Company | Posted | Location | Salary | Tags |
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Integra | Remote | $88k - $101k | |||
Integra | Remote | $72k - $84k | |||
Inmobi | Remote | $91k - $110k | |||
OpenSea | New York, NY, United States | $180k - $270k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kraken | United States | $110k - $176k | |||
MoonPay | Bucharest, Romania | $90k - $115k | |||
Kast | Remote | $94k - $104k | |||
Binance | South East Asia |
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Copperco | Remote | $90k - $164k | |||
Bitgo | Remote | $180k - $240k | |||
Binance | Brisbane, Australia |
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Lobster | Paris, France | $40k - $80k | |||
SafeGlobal | New York, NY, United States | $87k - $112k | |||
Binance | South East Asia |
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Ethereum Foundation | Remote |
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Integra is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. Job Description
Plan, develop, and take ownership in data-intensive investigations related to financial fraud 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 analyze potentially fraudulent conduct Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides Anticipated to grow toward managing projects and communicating with clients
QualificationsRequired
3-5 years of work experience at an economic consulting or management consulting firm Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, 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 Prior experience managing projects for clients or strong desire to grow into a project management role Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts Demonstrated aptitude for research
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.