Data Scientist

Summary

Join Credible's Business Intelligence and Analytics team as a seasoned Data Scientist to lead and grow the company's Data Science and Machine Learning capabilities. You will drive the execution of data science projects across their entire lifecycle, from initial exploration to production deployment. Responsibilities include developing predictive models, optimizing user experiences, and collaborating with various teams. This role requires a strong background in statistical modeling, machine learning, and data analysis, along with excellent communication skills. Credible offers a competitive salary, annual discretionary bonus, and various benefits including medical/dental/vision insurance, a 401(k) plan, and paid time off.

Requirements

• 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
• 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
• Version Control Experience (GitHub)

Responsibilities

• 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

Preferred Qualifications

• Masters Degree in a quantitative or scientific discipline strongly desired
• Experience with Seldon-core or other MLOps tool is preferred
• Hands-on experience with cloud infrastructure tools (EC2, S3, Redshift, Snowflake, containers)
• Advanced visualization/reporting and presentation experience
• Familiarity with ML deployment infrastructure (ETL, tools, new products in the space)
• Experience at an e-commerce or fintech company a plus

Benefits

• Annual discretionary bonus
• Various benefits, including medical/dental/vision, insurance
• A 401(k) plan
• Paid time off
• Other benefits in accordance with applicable plan documents