Director of Data Science

| Seattle
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It currently takes the same amount of time to process an average American mortgage as it does to walk nonstop from Manhattan to San Francisco! Xpanse is working to change that. 

It’s our mission to create a universal platform that brings clarity, ease, automation and security to the origination process. Our SaaS platform will power the mortgage industry and its relationships with a massive network of third-party providers that are integral to the mortgage process. By focusing on the customer, using automation, real-time intelligence, big data, and analytics we are changing the way borrowers, lenders, servicers, and service providers take care of business. 


Disrupting an industry is a team sport, so we are looking for the best and brightest to make an impact and change the future of an $11 trillion industry. 

We are growing rapidly in the Seattle Area and looking for a Director of Data Science to join our team. This individual will enable us to use data and automate most of manual steps involved in the mortgage process. Over vision to enable the equivalent of a “1-click mortgage application” experience for borrowers. If you are interested in solving complex data problems, love being one of the founding members of a growing data science team, look no further!  


WHAT YOU WILL BE DOING

  • Translate complex and interrelated datasets into useful insights that drives business and product decisions internally as well as for customers/partners
  • Identify and leverage the right first party and third party data sources that can enable us to build a risk weighted model to each mortgage application
  • Apply business judgement to identify creative opportunities that can replace traditional cost/time intensive manual processes with data driven automation in the mortgage application process
  • Continuously build, test and iterate on advanced statistical and machine learning models
  • Create the right KPIs to measure the success of the models in terms of economic benefit to Xpanse’s customers and partners
  • Effectively partner with product and engineering to productionize automation opportunities that show promise
  • Communicate scientific insights and solutions effectively to everyone in the organization
  • Hire and develop a team of data scientists and ML engineers
  • Double down as both IC and manager as we build out the team

BASIC QUALIFICATIONS

  • Bachelor or Master's degree in Statistics, Applied Mathematics, Operation Research or a related quantitative field
  • 10+ years of hands on experience in predictive modeling and machine learning – including model development, validation and implementation
  • 3+ years of experience hiring, mentoring and growing a high performing team of data scientists
  • Proven track record of guiding engineering team to get unstructured data to a structured format that sets the data science organization for success
  • Proficiency working with data querying languages (Eg: SQL), scripting languages (Eg: R, Python) or statistical/machine learning software (Eg: R, Matlab etc.)
  • Proven track-record using one or more leading big data processing frameworks such as Apache Spark, Apache Pig, Hadoop or similar
  • Experience working with millions or billions of rows of data – methodically analyzing, filtering and presenting to enable key business decisions
  • Proficiency in development, validation, implementation and production launch of ML algorithms and models
  • Excellent communication and data presentation skills
  • Track record of managing multiple, competing priorities simultaneously
  • Unrelenting tenacity to get stuff done

PREFERRED QUALIFICATIONS

  • PhD degree in Statistics, Applied mathematics or a related quantitative field
  • Working knowledge of deep learning, ETL tools and databases
  • Experience working with Tableau or similar B! reporting platform
  • Experience with different AWS data (Eg: Redshift) and ML (Eg: SageMaker) technologies
  • Comfortable working in fast-paced, collaborative and dynamic work-environment
  • Experience delivering disruptive PaaS or SaaS products within the Fintech industry, especially ones focused on the broader mortgage industry
  • Experience leading mentoring and growing teams of data scientists is a plus


Xpanse is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Location

Fully-remote for the foreseeable future. For Seattle Area employees, we offer WeWork space for teams & individuals by request.

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