As Manager/Senior Manager, Data Science, you will lead the execution of building and deploying our predictive models. This is an exciting opportunity to get on the ground floor of a team at a growing company, and to guide the direction of how we build our data science capabilities. The ideal candidate has past technical experience building, deploying and monitoring credit risk predictive models, and can provide a vision of the tools and processes we should use in every stage of the modeling process. You will be joining our Analytics department, and report to the Director of Analytics and Data Science.

We have a modern analytics stack (Snowflake+Fivetran+DBT) that our Analytics Engineering and Business Intelligence teams use to centralize, clean, transform and model all of our data. We have access to many third-party datasets, in addition to our internal proprietary data. You will collaborate closely with the Analytics team to build datasets that will be used by data scientists to build models. You will also collaborate closely with our Technology team to deploy models into our applications. Our company is putting a lot of resources into automating our business, and you will play a key role in helping drive this initiative forward.

In this role you will:

• Identify, evaluate, and implement data science tools and processes
• Hire and manage data scientists
• Collaborate with data scientists, analytics engineering and technology to build and deploy predictive models
• Monitor and tune existing models
• Collaborate with leadership to identify predictive model use cases

Requirements:

(Even if you don’t check every box, but see yourself contributing, please apply.)

• 7+ years of technical data science experience
• Experience creating credit risk predictive models
• Experience working with lending related datasets including: credit bureau, public records and transaction level bank statement data
• Proficient in SQL
• Proficient in a scripting language, such as Python or R
• Strong project management and communication skills

Preferred: 

• Experience as a people manager
• Experience with Snowflake, Databricks, Tableau and DataRobot