Hybrid Machine Learning Scientist, Financial Scoring

Posted 3 hours ago

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About the role

  • Machine Learning Scientist developing machine learning models and innovative technologies at Lendbuzz. Delivering impactful solutions for underserved borrowers in a collaborative environment.

Responsibilities

  • Build machine learning and deep learning models based on financial and other modalities like images and text
  • Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
  • Conduct extensive analysis to better understand our continually evolving datasets and validate model performance
  • Design and develop robust, scalable pipelines and services using software engineering best practices
  • Implement end-to-end solutions, including architecture design, business logic, and deployment
  • Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
  • Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements

  • Ph.D in Computer Science, Statistics, Mathematics or a related field
  • 2+ years of relevant industry or postdoc experience
  • Solid understanding of computer science fundamentals, including data structures and algorithms and object oriented programming
  • Deep understanding of machine learning models and algorithms
  • Deep understanding of probability and statistics
  • Strong data analysis skills and experience working with messy real world data
  • Proficiency in python and familiarity with commonly used machine learning libraries such as numpy, pandas, torch, and scikit-learn
  • Excellent communication skills

Job title

Machine Learning Scientist, Financial Scoring

Job type

Experience level

JuniorMid level

Salary

$150,000 - $190,000 per year

Degree requirement

Postgraduate Degree

Location requirements

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