Director, Data Science - Doma｜Meet.jobs

About the Role

We're seeking an outstanding Director of Data Science (or Decision Science) to take the lead on improving and expanding our core, patented, industry-shaking insurance underwriting systems. This suite of ML models represents the future of title insurance and has been in production since 2018, closing 85k+ loan transactions, and saving time and cost as compared to the legacy manual underwriting workflows used in our industry, without increased risk.

As an ideal candidate, you are excited about dividing your time as follows: code development/review (50%), strategic and customer-facing planning with the executive team and external regulators (25%), and management of a small team of data scientists (25%).

You’ll take part in a fun and respectful corporate atmosphere at Doma, which includes interacting frequently with an accomplished executive team and other high performing teams throughout the organization. Much more than a model builder, you'll talk directly with VP+ customers and federal and state-level regulators. You’ll negotiate deals with vendors, be part of company strategy discussions, and negotiate agreements on data stewardship and model governance with deep legal minds in the public and private sectors.

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

Required Skills & Experience

• 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

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