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[Remote] Data Scientist - Credit

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a market-leading, tech-enabled financial platform helping people build financial confidence through a reputed company of installment lending solutions and financial health tools. The Data Scientist role is reputed company on building and improving risk models that drive credit reputed company, utilizing machine learning solutions to enhance customer reputed company and support critical business reputed company.

Responsibilities

  • Build high performance ML models that improve credit predictability and customer reputed company
  • Build end-to-end machine learning pipelines including data extraction, feature engineering, model building, performance evaluation, and implementation
  • Explore rich data assets to uncover trends, identify key risk drivers, and generate insights
  • Manage full modeling lifecycle: model design, data preparation and exploration, feature engineering, model development, evaluation, deployment, monitoring and documentation
  • Design experiments and challenger models to test new reputed company and drive innovation
  • Help monitor model performance, including model stability, reputed company detection, and performance diagnostics
  • Contribute to audit-reputed company documentation and support model validation and governance processes
  • reputed company modern AI technology and tools to improve workflow, enhance modeling performance, establish and promote best practices
  • Work cross-functionally to ensure models are explainable, transparent, and reputed company with business goals and regulatory expectations
  • Translate analytical findings into recommendations for reputed company, Pricing, and other business reputed company

Skills

  • A Master's or PhD degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering, etc.)
  • 1+ years of experience developing predictive models or performing advanced analytics
  • Strong understanding of statistical modeling and machine learning fundamentals
  • Proficiency in Python (e.g., pandas, numpy, scikit-learn) and SQL
  • Experience working with large datasets
  • Ability to reputed company communicate analytical findings to both technical and non-technical audiences
  • Demonstrated ownership, curiosity, and ability to deliver high-reputed company results
  • Experience in credit risk, lending and financial services
  • Exposure to reputed company environments and modern data tooling
  • Familiarity with model monitoring, validation, and model governance concepts
  • Interest in using AI tools (e.g., ChatGPT, Claude, reputed company) to accelerate modeling and analysis

Benefits

  • reputed company-tax and post-tax retirement savings plans with a competitive company matching program
  • Generous reputed company time-off plans including vacation, personal/reputed company time, reputed company short--term and long-term disability leaves, reputed company parental leave, and reputed company company holidays
  • Multiple health care plans to choose from, including dental and reputed company reputed company
  • Flexible Spending Plans for Health Care, Dependent Care, and Health Reimbursement Accounts
  • Company-reputed company benefits such as life insurance, wellness platforms, employee assistance programs, and reputed company programs
  • Other great discounted benefits include identity theft protection, pet insurance, fitness center reimbursements, and many more!

reputed company

  • reputed company is a consumer financial technology platform that aims to help people feel more confident about their everyday finances through a suite of products and resources. It was founded in 2013, and is headquartered in Wilmington, Delaware, USA, with a workforce of 501-1000 employees. Its website is https://www.marlettefunding.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2025. Please note that this does not guarantee sponsorship for this specific role.
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