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Senior Data Scientist, Credit Risk Modeler
hace 2 meses
We are a technology-driven organization specializing in innovative credit solutions for underserved communities. Our unique approach combines cutting-edge computer vision and natural language processing to provide unsecured credit options.
What We Do
We are seeking a highly skilled Machine Learning Engineer to develop and implement advanced credit decisioning models. The ideal candidate will have a strong background in machine learning and experience working with tabular data.
Key Responsibilities
- Design and develop innovative credit decisioning models using machine learning algorithms.
- Collaborate with cross-functional teams to integrate models into our existing systems.
- Work on ongoing projects, such as using computer vision to inform loan decisions.
- Develop and deploy end-to-end machine learning systems.
Requirements
- Master's degree in a STEM field.
- 3+ years of professional experience in machine learning on tabular data.
- Familiarity with Git and cloud platforms.
- Creative and strategic approach to solving complex problems.
Nice-to-Haves
- Verifiable track record of designing high-performing machine learning models.
- Experience in the financial industry.
- Experience with auto-regressive models and reinforcement learning.
- Expert-level Python skills.
- Experience with data pipelines and model monitoring.
We offer a competitive compensation package, including stock options, a fast-paced environment with growth opportunities, and a relocation package. We are open to fully remote candidates who are a great match.