Senior Data Scientist

Harnham; United States; On-site; USD 120,000 - 134,000; Full time

Job summary

Harnham is seeking a Senior Data Scientist for a rapidly growing fintech company in the United States. You will develop and deploy ML models for credit decisioning and risk assessment across the full lifecycle, collaborating with risk, analytics, and business teams.

The role emphasizes production-grade code, cloud and MLOps practices, and data pipeline improvements to drive predictive accuracy and business impact.

Qualifications

• Bachelor's, Master's, or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or a related discipline.
• 1+ years of professional experience developing and deploying supervised machine learning models into production environments.
• Strong Python experience, including machine learning and data science libraries such as NumPy, Pandas/Polars, and Scikit-Learn.
• Experience writing tested, maintainable, and reproducible code for data pipelines and machine learning applications.
• Familiarity with cloud computing, databases, command-line tools, and shell scripting.
• Experience supporting models through monitoring, validation, and lifecycle

Responsibilities

• Design, develop, deploy, and optimize supervised machine learning models used in credit decisioning and risk assessment.
• Partner with risk, analytics, and business teams to translate business problems into modelling solutions.
• Monitor production models, identify performance degradation, and implement improvements.
• Build and maintain reproducible data science workflows using software engineering best practices.
• Develop and improve data pipelines and model training processes.
• Evaluate new data sources and modelling techniques to improve predictive performance.
• Communicate modelling approaches, assumptions, and trade-offs to both technical and non-technical stakeholders.

Education

Bachelor's, Master's, or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or a related discipline.

Tools

Python

NumPy

Pandas/Polars

Scikit-Learn

Job description

Pay: $120,000 - $134,000 Base Salary + Bonus + Equity

No Sponsorship Offered

About the Role

A rapidly growing fintech company is seeking a Senior Data Scientist to develop and enhance machine learning models that drive credit and lending decisions. This opportunity offers the chance to work across the full model lifecycle, partnering with business stakeholders to solve complex risk and customer lending challenges while leveraging modern MLOps and cloud technologies.

Responsibilities:

Design, develop, deploy, and optimize supervised machine learning models used in

credit decisioning and risk assessment.

Partner with risk, analytics, and business teams to translate business problems into

Monitor production models, identify performance degradation, and implement

Build and maintain reproducible data science workflows using software engineering

best practices.

Develop and improve data pipelines and model training processes.

Evaluate new data sources and modelling techniques to improve predictive

performance.

Communicate modelling approaches, assumptions, and trade-offs to both

technical and non-technical stakeholders.

Must Have Qualifications:

Bachelor's, Master's, or PhD in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or a related discipline.

1+ years of professional experience developing and deploying supervised machine learning models into production environments.

Strong Python experience, including machine learning and data science libraries such as NumPy, Pandas/Polars, and Scikit-Learn.

Experience writing tested, maintainable, and reproducible code for data pipelines and machine learning applications.

Familiarity with cloud computing, databases, command-line tools, and shell scripting.

Experience supporting models through monitoring, validation, and lifecycle