Senior Applied Data Scientist

Clair
New York
Workplace: HybridFull timeUSD 190,000 - 200,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Cross-functional collaboration","Stakeholder management"]

Develop and maintain credit risk and repayment models that power Clair’s underwriting and decision systems. Build predictive features from transaction-level data, deploy and monitor production ML models using AWS and Snowflake ML Platform, and analyze credit performance to address model drift and repayment changes. Partner with engineering, product, and risk teams to turn data insights into credit strategy improvements, and clearly communicate technical findings to technical and non-technical stakeholders.

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Clair
Clair
4 days ago

Senior Applied Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Develop and maintain credit risk and repayment models that power Clair’s underwriting and decision systems. Build predictive features from transaction-level data, deploy and monitor production ML models using AWS and Snowflake ML Platform, and analyze credit performance to address model drift and repayment changes. Partner with engineering, product, and risk teams to turn data insights into credit strategy improvements, and clearly communicate technical findings to technical and non-technical stakeholders.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop and maintain credit risk and repayment models powering Clair’s underwriting and decision systems.
  • •Design and engineer predictive features using transaction-level data, including predicting income flows, spending, and repayment behaviors.
  • •Collaborate with engineering teams to deploy, monitor, and optimize production ML models using AWS and Snowflake ML Platform.
  • •Build prototypes of new modeling methodologies and present them to stakeholders for evaluation and feedback.
  • •Investigate credit performance issues, identifying root causes of model drift or unexpected repayment behavior.

Pay and Benefits

Salary: USD 190,000 - 200,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionParental Leave401kHsaFsaPaid LeaveDisability Insurance

Key Requirements

  • •5+ years of professional experience in data science and machine learning.
  • •Proven end-to-end data science experience from research and model development to deployment and monitoring.
  • •Experience building and productionizing credit or risk assessment models.
  • •Strong proficiency in Python and familiarity with modern ML libraries such as TensorFlow, PyTorch, and XGBoost.
  • •Strong command of SQL and experience working with large transactional and time-series datasets.
Experience:5+ yearsFintechCredit risk modelingTime-seriesMachine learningFinancial services
Skills:CommunicationCross-functional collaborationStakeholder management
Tech Stack:PythonTensorFlowPyTorchXGBoostSQLAWSSnowflake ML PlatformAzure

Company Brief

Clair
Provides liquidity and financial tools for startup employees, enabling access to equity value through secondary sales, personalized financial planning, and education to help early-stage workers manage and monetize their startup compensation.
Industry: Wealth Management
Growth: Early Stage Startup
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