Doma is looking for an exceptional Data Science leader to take our existing model training and deployment, business intelligence, and automated document processing practices to the next level. You will be leading a team of 3+ exceptional data scientists in building cutting edge document processing and automation models, using the latest and greatest in natural language processing and computer vision, and will be reporting to a Senior Data Science Manager. This role requires expert management skills, ability to communicate effectively with VP+ stakeholders, as well as passion for hands-on development when special projects and mentorship of your team call for it. 

You’re fired up to: 

• Lead a collaborative team in training, testing, and productionizing data science and ML models. 
• Find and brainstorm innovative new methods in deep learning to combine computer vision and natural language processing in search of improved automated document processing approaches. 
• Continually find ways to improve our team’s best practices, in order to accelerate our team’s technical productivity. 
• Own data science product implementation, from code to customer feedback. 
• Become a domain expert in title insurance and real estate and inform document processing efforts across the company as it pertains to real estate. 
• Oversee an extremely talented team of data scientists, and challenge and support them to achieve their highest potential. 

You definitely have: 

• 3+ years’ experience working in data science, machine learning or deep learning, chiefly in the Python programming language. 
• 1+ years’ experience managing data scientists and delivering production ML models. 
• 1+ years’ experience planning and scoping data science and machine learning projects 
• Enough hands-on Python experience to pair program with your team and review code. 
• Strong familiarity with machine learning concepts, particularly the validation and testing of ML models. 
• Expertise in training and implementing custom neural network architectures. 
• Experience with software engineering practices like version control, testing, code reviews, etc. 

You might even have: 

• Previous experience with dashboarding via the likes of Tableau/Looker/etc., possibly having built out a model reporting dashboard. 
• Hands-on experience researching the customer requirements of an ML model, or a suite of ML models. 
• Expertise in natural language processing and data extraction from unstructured documents and PDFs. 
• Designed and built custom tools to accelerate internal model development and deployment. 
• Implemented custom neural network architectures in production. 
• Lead key platform or framework migrations. 
• Mentored team members into successfully growing their careers and learning new skills. 
• Publication and/or patenting experience.