Note: The job is a remote job and is open to candidates in USA. Credible is a U.S. consumer finance marketplace that helps consumers compare personalized financial products and provides comparison and distribution technology to financial institutions and partners. The company is seeking a seasoned Data Scientist to lead statistical modeling and machine learning initiatives, manage projects from exploration through deployment, and develop recommendation and user classification systems. The role partners with product, marketing, analytics, and engineering teams to turn user insights into automated services.
Responsibilities
- Drive the long-term statistical modeling and machine learning vision of the company
- Conducting exploratory data analysis (EDA) prior to model development
- Performing feasibility assessments (POCs) for proposed ML solutions
- Monitoring and diagnosing model performance issues, including drift and degradation
- Researching and evaluating additional use cases for existing models
- Supporting ad hoc ML-related analytics requests from stakeholders and senior data scientists
- Conduct analyzes 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
- 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
- Work with product and marketing managers, analysts, and engineers to turn insights about our users into automated services
Skills
- * BA/BS in Mathematics, Statistics, or Computer Science required
- * 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
- * Hands-on experience with cloud infrastructure tools (AWS EC2, S3, Redshift, Snowflake, containers)
- * Advanced visualization/reporting and presentation experience
- * Version Control Experience (GitHub)
- * Demonstrated experience adopting and effectively leveraging AI tools in day-to-day data science workflows
- * Familiarity with ML deployment infrastructure (ETL, tools, new products in the space)
- * Excellent strategic project planning skillset
- * Excellent communication skills (written and verbal)
- * Ability to develop project plans and deliver results against quarterly and annual roadmaps
- * Comfortable working with loosely defined requirements where you exercise your creativity and analytical skills to deliver best in class solutions
- * Excellent written and verbal communication. Ability to articulate vision, complex thoughts, analytical processes, and results in clear business terms
- * Anticipate business needs and think with a business owner mindset – think critically about analyses and solutions and provide improvement recommendations. This role requires an individual who can work autonomously
- * Masters Degree in a quantitative or scientific discipline strongly desired
- * Experience with Seldon-core or other MLOps tools is preferred
- * Experience at an e-commerce or fintech company is a plus
Benefits
- Annual discretionary bonus
- Medical, dental, and vision benefits
- Insurance
- 401(k) plan
- Paid time off
Company Overview
Company H1B Sponsorship