

Nasscomm
Data Scientist - New York City (ONLY W2 CANDIDATES)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in New York City, offering a 9+ month contract at a competitive pay rate. Candidates must have 10+ years in Analytics and Strategy, expertise in SQL, R/Python, and data visualization, preferably in payments/fintech.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
Unknown
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ποΈ - Date
March 17, 2026
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
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π - Contract
W2 Contractor
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π - Security
Unknown
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π - Location detailed
New York City Metropolitan Area
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π§ - Skills detailed
#Visualization #Tableau #"ETL (Extract #Transform #Load)" #Data Science #ML (Machine Learning) #Mathematics #Statistics #Consulting #R #SQL (Structured Query Language) #Python #Data Analysis #Strategy
Role description
Position: Data Scientist
Location: Hybrid (3 days a week onsite in New York City, NY)
Duration: 9+ Months Contract
MINIMUM QUALIFICATIONS
β’ 10+ years of demonstrated experience in an Analytics and Strategy role.
β’ Strong business acumen and the ability to think strategically and operationally.
β’ Be a self-starter, driven, accountable and a high-energy team player.
β’ Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
β’ Demonstrated ability to influence without authority.
β’ Excellent communication skillsβable to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
β’ Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
β’ Knowledge of and experience in leveraging Applied Statistical/ML techniques.
β’ Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
PREFERRED QUALIFICATIONS
β’ 15+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
β’ Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
β’ Track record of leading organization-wide strategic initiatives or transformative analytics projects.
β’ Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
Position: Data Scientist
Location: Hybrid (3 days a week onsite in New York City, NY)
Duration: 9+ Months Contract
MINIMUM QUALIFICATIONS
β’ 10+ years of demonstrated experience in an Analytics and Strategy role.
β’ Strong business acumen and the ability to think strategically and operationally.
β’ Be a self-starter, driven, accountable and a high-energy team player.
β’ Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
β’ Demonstrated ability to influence without authority.
β’ Excellent communication skillsβable to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
β’ Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
β’ Knowledge of and experience in leveraging Applied Statistical/ML techniques.
β’ Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
PREFERRED QUALIFICATIONS
β’ 15+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
β’ Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
β’ Track record of leading organization-wide strategic initiatives or transformative analytics projects.
β’ Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.






