Director – Data Science
Posted on 11/2/2023
INACTIVE
Doma

1,001-5,000 employees

Insurtech platform for real-estate transactions
Company Overview
Doma's mission is to architect the future of real estate transactions. They boldly challenge the status quo and trying to transform an industry.
Data & Analytics
Real Estate

Company Stage

IPO

Total Funding

$679.6M

Founded

2016

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

-39%

1 year growth

-54%

2 year growth

-35%
Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Docker
SQL
Python
Software Testing
CategoriesNew
AI & Machine Learning
Data & Analytics
DevOps & Infrastructure
Requirements
  • You have 7+ years of relevant industry experience, including writing production code and deploying machine learning models
  • You have 2+ years of experience as a people manager or mentor
  • You are excited for a Director role that involves wearing multiple hats, such as hands-on coding, project leadership, or interfacing with executives and external partners
  • You have expertise in Python, SQL, Docker, etc
  • You understand fundamental data science concepts, and have experience with common tooling and packages used for machine learning
  • You have strong fundamental knowledge of core programming concepts, including object-oriented programming, unit testing, etc
  • You've built ML-driven decisioning systems (g. credit risk, fraud, or insurance) and worked with engineering teams to deploy them
  • Experience in one of the following domains is a huge plus: real estate, fintech
Responsibilities
  • You will lead a small team of talented machine learning engineers and data analysts, and will inspire this team to perform their best
  • You will improve existing machine learning models and develop new ones
  • You will be a hands-on leader, writing production code and monitoring models via dashboards and analytics
  • You will work cross-functionally within the company, interfacing with multiple technical teams, as well as with product and operations teams and the company's executive team
  • You will serve as a go-to expert in risk & forecasting for our team and the company. This includes reducing model losses, improving the fidelity of our projected losses, fighting fraud, and identifying new risks in our domain
  • You will inspire confidence in non-ML stakeholders and regulators