Senior Data Scientist – Finance

Senior Data Scientist – Finance

Requirements

• Master’s degree or Ph.D. in Finance, Statistics, Economics or a related quantitative field.
• 5+ years of experience in a data science or related role supporting finance teams.
• Expertise in predictive modeling, causal inference, and time series forecasting.
• Knowledge of structural finance models, financial planning and analysis (FP&A) workflows and reporting, plus experience working with key performance indicators like LTV, CAC, and ARR.
• Proficiency in SQL and Python (or R) for data analysis and modeling.
• Ability to translate complex analyses into strategic recommendations for Finance and business leadership.
• Familiarity with BI tools (e.g., Tableau, Looker) and financial data sources.
• Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
• Strong communication skills, with the ability to work cross-functionally.

Responsibilities

• Design and build a new top-line revenue and other financial forecasts using predictive modeling and other advanced data science techniques.
• Collaborate with Finance to integrate predictive insights into existing forecasting processes and refine key assumptions.
• Partner with Finance to analyze financial performance and uncover key drivers using causal inference, anomaly detection, and exploratory data analysis.
• Design and implement scalable data pipelines to support financial reporting and forecasting in collaboration with Data Engineering.
• Mentor junior data scientists and finance analysts to foster a culture of data-driven decision-making.
• Communicate findings and recommendations clearly to both technical and non-technical audiences.

Preferred Qualifications

• Experience building and maintaining financial forecasting models with a high degree of accuracy.
• Experience working in businesses with blended revenue models that include both recurring and consumption-based components.