Data Scientist

Who is Credible?

We are a marketplace where users can compare personalized, prequalified rates and quotes from multiple lenders and carriers, for student loans, mortgages, personal loans, and insurance. 

We’re challenging the status quo by giving power to the consumer. We believe in a world where ‘ethical’, ‘lending’, and ‘insurance’ can coexist, so we set out to build innovative platforms that actually work for customers. Our mission is to help people find the best loan or insurance policy possible. 

We believe researching and buying loans or insurance shouldn’t be confusing or complex, so we’ve focused on simplicity. We’ve created the only unbiased loan and insurance buying process out there, which makes finding options straightforward and clear. 

About the Role:

Our Business Intelligence and Analytics team is seeking to grow the company’s Data Science and Machine Learning capabilities across several facets of our business. We are seeking a seasoned Data Scientist to lead this transformative step change function and nurture its growth across several focus areas. You will drive tactical and strategic execution of several data science projects and manage their entire lifecycle.

 You will:

• Drive the long-term statistical modeling and machine learning vision of the company. 
• Conduct analyses to develop and improve our product recommendation and user classification systems. Use this understanding to help optimize our adaptive user experience, cross selling initiatives, and retargeting efforts.
• Develop lead scoring models and methodologies to predict Lifetime Value.
• Design, prototype, and implement models across several domains. Manage each part of a project’s life cycle, including ad-hoc exploration, preparation of training data, model development, and production deployment.
• Partner with engineers to deploy and consume data science models.
• Work with product and marketing managers, analysts, and engineers to turn insights about our users into automated services.

 
Education and Experience:

• BA/BS in Mathematics, Statistics, or Computer Science required. Masters Degree in a quantitative or scientific discipline strongly desired.
• 3+ years experience in developing, testing, and deploying optimized predictive models (preferably to inform in-product recommendation systems and automated customer re-targeting efforts).
• Advanced statistical modeling skillset (Python, R, etc).
• Advanced SQL querying, data mining, and data cleansing skillset.
• Deep knowledge of supervised and unsupervised machine learning algorithms (neural networks, decision trees, etc.).
• Advanced knowledge of experiment design.
• Experience with Seldon-core or other MLOps tool is preferred.
• Hands-on …