ISITE TECHNOLOGIES

Senior Data Scientist with Python-Raleigh, NC(W2)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Raleigh, NC, requiring 15+ years in analytics, preferably in payments/fintech. Key skills include Python, SQL, R, and data visualization tools. Must possess strong strategic thinking and communication skills. Contract length and pay rate are unspecified.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
June 30, 2026
πŸ•’ - Duration
Unknown
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
W2 Contractor
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Raleigh, NC
-
🧠 - Skills detailed
#ML (Machine Learning) #Tableau #Statistics #Mathematics #Data Analysis #Python #Strategy #Visualization #Data Science #R #"ETL (Extract #Transform #Load)" #Consulting #SQL (Structured Query Language)
Role description
Level Required for Primary Skill Expert (15+ years' experience) Checklist DATA ANALYTICS - ADVANCED STATISTICAL ANALYSIS & MODELING DATA ANALYTICS - DATA VISUALIZATION Location – Raleigh, NC 3 days in client office MINIMUM QUALIFICATIONS 15+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain. Strong business acumen and the ability to think strategically and operationally. Be a self-starter, driven, accountable and a high-energy team player. Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations. Demonstrated ability to influence without authority. Excellent communication skillsβ€”able to distil complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment. Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation. Knowledge of and experience in leveraging Applied Statistical/ML techniques. Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences. PREFERRED QUALIFICATIONS Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action. Track record of leading organization-wide strategic initiatives or transformative analytics projects. Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.