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# Machine Learning Scientist (Financial Scoring)

- **Company:** Lendbuzz Inc.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Logic, Data Structures, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Software Engineering, Pandas, Scikit Learn, Information Technology, Software Library
- **Published:** July 22, 2026
- **Apply:** https://www.dice.com/job-detail/ac797121-6d8a-422f-9d98-d3034655a9e0

## About the Role

We are looking for a talented Machine Learning Scientist who is passionate about delivering impactful solutions and thrives in a dynamic, collaborative environment. The ideal candidate will possess a strong background in software development, excellent data analysis and communication skills, and a deep understanding of machine learning and statistics., * 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

## Description

* 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


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