Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $89k - $124k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Credible

201 - 500 employees

Founded 2012

🛡️ Insurance

💼 Consulting

💸 Finance

Insurance • Consulting • Finance

Credible is a financial services marketplace that allows consumers to compare financial products from multiple lenders and providers. Offering a wide range of products such as personal loans, student loan refinancing, mortgages, credit cards, and insurance, Credible enables users to compare prequalified rates and find competitive financial solutions tailored to their needs. The platform prides itself on transparency and an easy-to-use interface, ensuring users can explore options without impacting their credit score through a soft credit inquiry. Founded in 2012, Credible aims to be a trustworthy resource for individuals seeking to make informed financial decisions.

📋 Description

• Drive the long-term statistical modeling and machine learning vision of the company • Conduct exploratory data analysis before model development • Perform feasibility assessments and proofs of concept for proposed ML solutions • Monitor and diagnose model performance issues, including drift and degradation • Research and evaluate additional use cases for existing models • Support ad hoc ML-related analytics requests from stakeholders and senior data scientists • Analyze and improve product recommendation and user classification systems • Help optimize adaptive user experience, cross-selling initiatives, and retargeting efforts • Design, prototype, and implement models across several domains • Manage the full project lifecycle, including exploration, training-data preparation, model development, and production deployment • Collaborate with product and marketing managers, analysts, and engineers to turn user insights into automated services

🎯 Requirements

• 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, including neural networks and decision trees • 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 written and verbal communication skills • Ability to develop project plans and deliver results against quarterly and annual roadmaps • Ability to work with loosely defined requirements and exercise creativity and analytical skills • Ability to articulate vision, complex thoughts, analytical processes, and results in clear business terms • Ability to anticipate business needs and work autonomously • 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 insurance • Dental insurance • Vision insurance • 401(k) plan • Paid time off • Other benefits in accordance with applicable plan documents

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