Senior Data Scientist, Business Finance

View full description

Requirements:

• Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
• Have the ability to take an ambiguously defined task, and break it down into actionable steps.
• Have a comprehensive understanding of statistics, optimization and machine learning.
• At least 4 years experience in Finance Data Science.
• Bring an analytical mind to the work blending data science and internal business operations and analytics.
• Are proficient in coding, data structures, and algorithms.
• Enjoy working in a friendly, collaborative environment with others.

Responsibilities:

• Build predictive and optimization models to guide company resourcing decisions.
• Build credit limit and collection decisioning models to support company financial health.
• Make Data Science modeling accessible to non-experts through usage of the right tools for typical prediction tasks.
• Support in the modeling of annual and long range revenue planning.
• Implement time series forecasting to predict revenue from clients, especially when it is likely to grow or decrease.
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights.
• Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms in production.