Data Scientist (Fintech)

TL;DR

Data Scientist (Fintech): Developing predictive models and analytical tools for financial planning and analysis with an accent on revenue forecasting, variance analysis, and scenario modeling. Focus on integrating complex financial data from ERP/CRM systems and translating technical insights into actionable recommendations for executive stakeholders.

Location: Must be based in New York (Onsite)

Company

A global provider of enterprise AI products and services dedicated to democratizing AI through proprietary AI Studio and AI Engines.

What you will do

• Develop predictive models for revenue, expenses, cash flow, and profitability.
• Build driver-based forecasting and scenario-planning models for annual and long-range budgets.
• Improve forecast accuracy using statistical methods, machine learning, and time-series modeling.
• Perform variance analysis to explain differences between actuals, budgets, and forecasts.
• Create automated dashboards and reporting tools for financial and operational performance.
• Partner with finance, accounting, and operations teams to define analytical requirements.

Requirements

• Must be authorized to work in the US without sponsorship (no visa support provided).
• Bachelor’s degree in Data Science, Statistics, Economics, Finance, or related field.
• 7+ years of experience in data science or financial/business analytics.
• Proficiency in Python and SQL.
• Experience with statistical analysis, predictive modeling, and time-series forecasting.
• Experience developing dashboards with Power BI, Tableau, or Looker.

Nice to have

• Experience working within FP&A, corporate finance, or strategic finance teams.
• Familiarity with financial planning platforms like Anaplan, Adaptive Planning, or Oracle EPM.
• Experience with cloud data platforms such as Snowflake, Databricks, or AWS.
• Knowledge of ERP systems like SAP, Oracle, or NetSuite.

Culture & Benefits

• Commitment to democratizing AI through high-quality education initiatives.
• Equal opportunity employer focused on diversity and inclusion.
• Opportunity to work on enterprise-grade AI transformation projects.