Data Scientist

Summary

Credible is a U.S. consumer finance marketplace that helps consumers compare personalized financial products and enables financial product distribution through enterprise partnerships. The company is seeking a seasoned Data Scientist to lead statistical modeling and machine learning initiatives, manage data science projects throughout their lifecycles, and improve recommendation, user classification, personalization, cross-selling, and retargeting systems.

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 analysis 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
• 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
• Preferably to inform in-product recommendation systems and automated customer re-targeting efforts
• Experience with Seldon-core or other MLOps tools is preferred
• Experience at an e-commerce or fintech company is a plus

Qualifications

Must Haves

• BA/BS in Mathematics, Statistics, or Computer Science required
• 3+ years experience in developing, testing, and deploying optimized predictive models
• 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

Nice to Haves

• Masters Degree in a quantitative or scientific discipline strongly desired
• preferably to inform in-product recommendation systems and automated customer re-targeting efforts
• 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