As Director of Data at Earnest, you will have a unique role. You will bring together state of the art modeling and state of the art engineering. This means everything from designing new engineering solutions to model deployment, honing how engineers and modelers work together, selling data solutions to stakeholders internally and externally, and identifying key business needs, and driving cross functional solutions.
Autonomy: Our team decides how they work, inspiring ownership and a creative approach to solving problems. We value an individual's ability to govern themselves, independent of their position in the organizational structure. Each member of our team is empowered to offer design and architectural recommendations to help us make the best products possible. Because we build models as services it gives the team great freedom in designing the solutions, but great responsibility in making sure they are the right solutions.
Culture: We find value in code reviews, pair programming, and paying down technical debt. We seek diverse of perspective, backgrounds, and evaluate ideas based on merit. We welcome innovative solutions and cross functional efforts. By collectively pooling our talent and experience we believe that we can create the best products and a massively scalable company.
Sample Projects:
Evolving and honing the framework for developing models as a service
Evolving the organizational structure of the team as we grow
Managing the creation of a sustainable architectural plan for the Services produced by the data team
Ensuring that the modelers are leveling up their engineering skills and engineers on the team are leveling up their data modeling skills
Ideal backgrounds and expertise:
Extensive experience managing Modelers, Engineers, and Data Engineers: a desire to hire, develop, and guide the team.
A vision for how data modeling and data engineering work is done and a track record of executing on that vision.
A desire to engage actively and continuously with stakeholders throughout the business.
A data and engineering technologist, for example
Experience with server-side concepts, e.g. microservices, databases, caching, performance, monitoring, API design, TDD, AWS serverless technologies (Lambda, Kinesis, API Gateway), Docker, and functional programming
Experience with modeling techniques (regression based models, tree based models, neural nets, etc.)
Familiarity with experimental testing
Familiarity or experience with Scala, Python, R
Work with databases such as PostgreSQL and Redshift
Experience with Continuous Integration/Continuous Delivery frameworks
Understanding of Agile/Lean/Kanban practices
You constantly seek to automate and scale by investing in data platform and infrastructure
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