Py Data Analyst for B2B Strategic Partnership with Startup - CBOT Seat Sublease

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Py Data Analyst focused on B2B strategic partnerships, requiring a PhD or advanced accreditation, strong math skills, and 5+ years of OOP experience. It offers a remote contract lasting over 6 months, with compensation tied to revenue share.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
9090.9090909091
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πŸ—“οΈ - Date discovered
September 23, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Data Science #Monitoring #Consulting #Data Analysis
Role description
Small business with incidental Treasury futures hedging privileges seeks data scientist for strategic partnership in consideration for institutional sized helping of revenue share. Responsibilities Use quantitative methods to discern local and global minima and maxima in predictable time-series dataset characterized by readily anticipable idiosyncracies Assist with monitoring .py app on 23/hr day schedule Design, implement, and evaluate scientific experiments Attend monthly board meeting Requirements PhD, MSc, MBA, or similar advanced accreditation Strong knowledge of higher level math including calc 3, lin alg, pdes, sdes, psdes, and similar numerical methodologies US citizenship or greencard 5+ experience with OOP You own your own consulting firm or small business and want to join a private membership association that will help you hedge operating risks such as customer nonpayment, rising inflation, interest rate risk, and default risk regarding payroll obligations and plant mortgages Compensation is a % of net from general corporate hedging account. That is going to be a lot more than most data scientists earn, and potentially into 7-8 figure territory. Job Type: Contract Pay: $64,133.05 - $2,000,000.00 per year Benefits: Flexible schedule Work Location: Remote