PRI Global

Lead Data Scientist Only on W2(USC or GC)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist with a 6-month contract in Basking Ridge, NJ (Hybrid). Requires 10+ years of experience, strong SQL and Python skills, and a background in Telecommunications or Financial industries. W2 only.
🌎 - 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
Basking Ridge, NJ
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🧠 - Skills detailed
#Database Management #Data Science #Data Engineering #SQL (Structured Query Language) #Python #Strategy
Role description
Lead Data Scientist 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.