Description

You will develop data science solutions to drive commercial and pricing strategy.

This role is remote.

Responsibilities

• Transform complex datasets into statistical analyses to inform commercial and pricing recommendations.
• Design and build revenue management analysis solutions using internal and external data sources.
• Develop and maintain predictive models for forecasting revenue, expenses, and cash flow.
• Automate repetitive financial analysis processes using scripting and machine learning on large datasets.
• Build dashboards and visualizations to support FP&A, Treasury, and Accounting teams.

Required Skills

• 5+ years of experience in a data science or analytics role, ideally in finance or revenue management.
• Proficiency in Python, SQL, and R.
• Experience with Databricks.
• Solid understanding of financial concepts (P&L, balance sheet, cash flow, variance analysis).
• Experience building and validating statistical, forecasting, and time series models.
• Ability to translate data into actionable financial insights.
• Bachelor’s or Master’s degree in Data Science, Finance, Statistics, Economics, or Computer Science.

Preferred Skills

• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with big data tools like Hadoop, Hive, or Kafka.

Key Skills

Education

Bachelor's or Master's degrees