Nasscomm

Data Scientist (Only W2)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 10+ years of experience in analytics and strategy. It is a 9+ month hybrid contract based in Cupertino, CA or New York City, NY, requiring expertise in SQL, Python, and visualization tools like Tableau.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 18, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Storytelling #R #Strategy #Data Extraction #ML (Machine Learning) #Python #Tableau #"ETL (Extract #Transform #Load)" #Data Science #Visualization #Statistics #SQL (Structured Query Language) #Consulting
Role description
Position: Data Scientist Location: Hybrid (3 days a week onsite in Cupertino, CA or New York City, NY) Duration: 9+ Months Contract Requirements: β€’ 10+ years of experience in analytics, strategy, and data-driven decision-making roles β€’ Strong business acumen with ability to think strategically and execute operational plans β€’ Self-starter mindset; highly driven, accountable, and energetic team contributor β€’ Proven experience partnering with cross-functional teams to deliver actionable insights β€’ Ability to influence stakeholders and drive outcomes without direct authority β€’ Excellent communication skills; simplify complex data into clear, compelling narratives β€’ Background in consulting or fast-paced, customer-facing analytical environments β€’ Expertise in SQL, Python, or R for data extraction, analysis, and modeling β€’ Hands-on experience with visualization tools like Tableau for storytelling and reporting β€’ Strong knowledge of applied statistics and machine learning techniques β€’ Bachelor’s degree in quantitative fields such as Economics, Finance, or Statistics β€’ 15+ years of experience preferred, ideally within payments or fintech domain β€’ Ability to solve ambiguous problems and translate analysis into business actions β€’ Experience leading large-scale strategic or analytics transformation initiatives β€’ Master’s degree in a related quantitative or analytical discipline preferred