Data Scientist

  • New York, NY
  • Posted 15 hours ago | Updated 15 hours ago

Overview

On Site
$50 - $55
Contract - W2
Contract - 12 Month(s)

Skills

Analytics
Dashboard
Finance
Machine Learning (ML)
Warehouse

Job Details

Role: Data Scientist

Location: NYC, NY (Preferred) | Toronto, ON

Duration: Long Term

Rate: $50/hr on t4

Specification:

We re looking for a contractor who sits between a Business Analyst and a Junior Data Scientist, focused on product analytics, financial analysis, and ad-hoc data reporting for card programs.

This is not a Data Engineer or senior DS role; we need someone who is strong in SQL, analytical thinking, and building usable insights not designing pipelines or doing ML research.

This person will support product strategy and client-facing analytics with tasks.

Ideal Candidate should have experience on the below:.-

  • 5-8 years of experience in analytics roles
  • Worked as a Product Analyst, Business Analyst, Data Analyst, or Junior Data Scientist
  • Significant time writing SQL and working with real-world messy datasets
  • Some exposure to financial or transaction data (ideal but not required)
  • Strong communication skills they should be able to explain what the numbers mean

Required Skills

  1. SQL (must-have, non-negotiable)
  • Strong hands-on SQL for data analysis (joins, window functions, aggregations, date/time logic)
  • Experience working in a cloud data warehouse (Snowflake, Redshift, BigQuery, etc.)

  1. Analytical & Business Problem-Solving
  • Comfortable turning fuzzy product questions into structured analyses
  • Ability to interpret financial/card-program data (transactions, declines, fees, etc.)

Preferred Skills (Nice-to-Have)

Snowflake experience

  • Exposure to Snowflake-specific SQL or warehouse concepts is ideal but not required

Python for analytics

  • Useful for deeper explorations, forecasting, or lightweight data modeling
  • Not a requirement

BI visualization tools

  • Tableau or Looker strongly preferred
  • Experience building dashboards, simple visualizations, or metric tracking reports

Payments / Card Programs domain knowledge

  • Experience working with banking data, card transactions, or fintech analytics
  • Understanding of digital wallets, auth flows, or settlement data is a plus
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