Job description


Libertas Funding, LLC, headquartered in Greenwich, CT, is a dynamic fintech, specialty finance firm providing capital to small and medium-sized businesses. With over 100 years of combined funding and credit expertise, we work hard to provide our customers with optimal solutions to meet their funding needs. Libertas maintains a spirit of innovation and customer focus while leveraging our proprietary technology and financial discipline to help our clients reach their goals. We seek qualified, highly motivated individuals who work with integrity and excellence, and who value teamwork, customer service, diversity, and accountability.


The Senior Data Scientist at Libertas will build machine learning models that improve and automate the company's most critical processes and experiment with state-of-the-art algorithms to drive Libertas's ability to make timely decisions at scale. The Senior Data Scientist will collaborate on new product features to improve merchant outcomes, use any and every dataset available (including 3rd party data) to engineer new features, and have a considerable impact on the future of Data Science at Libertas.

  • Track record of successfully building production grade models and analytics pipelines, for consumption by applications and internal customers
  • Strong statistical skills and proven expertise in data science and machine learning
  • Fluency in Python and SQL
  • Experience working with technical and non-technical stakeholders to prioritize, scope, design, and deploy ML models
  • Proven ability to work both individually and in a team environment while displaying sound statistical and business judgment
  • Expertise with common ML models and algorithms, including ability to explain complex DS/ML concepts to non-technical stakeholders including the effect of tradeoffs or constraints
  • Experience with financial data is a strong plus
  • Knowledge of data governance best practices, including data quality/integrity and privacy
  • Experience with visualization tools like Tableau or AWS QuickSight
  • Experience developing integrated DS/ML pipelines with services in AWS
  • Bachelor's degree or higher in Computer Science, Economics, Applied Math, ML, Stats, Physics, or a related technical/quantitative field
  • 7+ years related work experience
  • Experience with machine learning and AI
  • Knowledge of SQL, Python, Airflow, etc.
  • Knowledge of AWS PaaS services including Redshift, Glue, EFS, S3
  • Knowledge of the Agile process and Test-Driven Development
  • Experience in startup companies

Libertas Funding, LLC provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by the federal, state, or local laws.
  • Libertas Funding is a mandatory Covid 19 vaccination employer*

Libertas Funding participates in E-Verify

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