PRI Global

Senior Data Scientist Only on W2(USC or GC)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist on a contract basis in Irving, TX or Basking Ridge, NJ (Hybrid). Requires 10+ years of experience, strong SQL and Python skills, and a background in Telecommunications or Financial industries.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#Database Management #Data Science #Data Engineering #SQL (Structured Query Language) #Python #Strategy
Role description
Senior Data Scientist Irving,TX or Basking Ridge, NJ (Hybrid) Contract Only on w2 (USC or GC) Must Have Experience in Below Domains Telecommunications or Financial Industry background (Telecommunications is HIGHLY preferred, but Financial industry is a backup option) MUST HAVES: • Someone who can "Think Big Picture" to be hands-on and provide strategy/vision/guidance based on Data Science principles. If they are a Lead or Principal-level, they need to still be very hands-on with SQL and Python. • Strong SQL and Python experience is critical - will be expected to pass a coding test for the final round interview with Mastercard's end client. • Candidates in the data engineering/science space for at least 4-6 years with a total minimum work experience of at least 10 years for Lead/Principal levels. • Telecommunications or Financial Industry background (Telecommunications is HIGHLY preferred, but Financial industry is a backup option) • Experience translating data into business outcomes such as upsell, cross sell, and opportunity identification is critical. • Located in Basking Ridge, NJ - or - Irving, TX. Nice to Haves: • Role sits within Marketing, specifically in the Database Management team. Previous experience working with Marketing teams in prior projects would be a plus. Marketing or business development experience is preferred, though any gaps can be supplemented by Mastercard-provided consultants. • Strong preference for candidates who can operate at the front end of the analytics cycle (business-side), not just backend modeling. • Marketing data experience is a strong differentiator, but broader commercial or customer analytics experience is acceptable.