About this role
Conducting exploratory data analysis and performing feasibility assessments for proposed machine learning solutions takes up a significant portion of the day-to-day work. Credible operates a consumer finance marketplace and needs a data scientist to drive the statistical modeling and machine learning vision across multiple focus areas. The business intelligence and analytics team builds recommendation systems and user classification models to optimize adaptive user experiences and cross-selling initiatives.
Driving tactical and strategic execution of data science projects requires managing complete project lifecycles from ad-hoc exploration to production deployment. Responsibilities include monitoring model performance for drift, supporting ad-hoc analytics requests, and collaborating with engineers and product managers to turn insights into automated services. A professional who thrives with loosely defined requirements and exercises creativity to deliver analytical solutions will do well in this environment.
What you will do
- Drive the long-term statistical modeling and machine learning vision of the company while managing project life cycles.
- Conduct exploratory data analysis and execute feasibility assessments for proposed machine learning solutions.
- Monitor and diagnose model performance issues including drift and degradation across deployed systems.
- Design, prototype, and implement predictive models across several business domains.
- Collaborate with product managers, marketing managers, analysts, and engineers to turn user insights into automated services.
- Support ad-hoc machine learning analytics requests from stakeholders and senior data scientists.
What you need
- Hold a Bachelor of Arts or Bachelor of Science degree in Mathematics, Statistics, or Computer Science.
- Bring at least three years of experience in developing, testing, and deploying optimized predictive models.
- Possess advanced statistical modeling skills utilizing Python or R alongside advanced SQL querying capabilities.
- Demonstrate deep knowledge of supervised and unsupervised machine learning algorithms such as neural networks and decision trees.
- Demonstrate advanced knowledge of experiment design and hands-on experience with cloud infrastructure tools like AWS, Redshift, and Snowflake.
- Develop project plans and deliver results against quarterly and annual roadmaps while working autonomously.
- Articulate complex thoughts, analytical processes, and results in clear business terms with excellent written and verbal communication.
Nice to have
- Masters degree in a quantitative or scientific discipline
- Experience with Seldon-core or other MLOps tools
- Experience at an e-commerce or fintech company
Benefits
- Medical, dental, and vision insurance
- 401(k) plan
- Paid time off
- Annual discretionary bonus
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
This position is listed as Remote, United States.
What is the salary range for the role?
For high cost of labor markets such as New York City and San Francisco, the pay range is $102,000 to $136,000 USD. For all other US locations, the pay range is $89,000 to $124,000 USD.
What qualifications are needed in education and experience?
A Bachelor of Arts or Bachelor of Science in Mathematics, Statistics, or Computer Science is required, with a Masters degree strongly desired. Candidates also need 3+ years of experience in developing, testing, and deploying optimized predictive models.