I am currently working with a Fintech looking for a Head of Data Science who can wear multiple hats and help build out the infrastructure of the team. This is a hands-on modeling and analytics role focused on credit models related to customer acquisition, underwriting, and customer management.

Responsibilities:

• Build predictive ML models from development through testing and validation for customer acquisition, underwriting and customer management.
• Develop insights and data visualizations to solve complex problems and communicate ideas to internal stakeholders.
• Extract and analyze data, investigate data integrity, generate metrics and perform ad hoc analysis.
• Partner with data engineers to validate & deploy solutions in an efficient, sustainable & usable manner.
• Research new and enhanced model features to improve our risk decisions.
• Framing and project management of key data science projects with cross functional teams
• Hire and mentor junior members of the data science team

What You'll Bring

• Advanced degree in quantitative field (statistics, math, economics, physics, etc.)
• 5+ years of experience in roles related to data science, statistics, or machine learning along with 2+ years of experience as a data science manager
• Experience with commercial and emerging databases, technologies, and languages
• Experience with applying statistics and machine learning methods to solve business problems
• Strong knowledge of R , SQL and Python.
• Ability to self-start and self-directed work in an unstructured environment, comfortable dealing with ambiguity and approaching new problems
• Excellent written and verbal communication to effectively understand business problems and communicate analysis