Machine Learning Scientist (Financial Scoring)

@ Lendbuzz
Lendbuzzlendbuzz.com

Machine Learning Scientist (Financial Scoring)

Posted 3 months ago

This job is still taking applications, but it's been up a while.

About the job

Lendbuzz develops financial technology to provide underserved borrowers better credit access. The role focuses on building ML models, analyzing data, and deploying scalable solutions in a collaborative environment.

Requirements

  • Ph.D in Computer Science or related
  • 2+ years industry experience
  • Knowledge of ML models and algorithms
  • Strong data analysis skills
  • Proficiency in Python

Qualifications

  • Deep understanding of probability and stats
  • Excellent communication skills
  • Experience with messy real-world data

Full job description

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.

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.


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



    • We believe:

    Diversityis a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.

    Compassionis a strength. We care about our customers and look to build long-term relationships with them.

    Simplicityis a key feature. We work hard to make our forms and processes as painless and intuitive as possible.

    Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.

    Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.

    If you believe these things too then we would love to hear from you!

    Background Checks

    After an offer is accepted, Lendbuzz conducts a pre-employment background check. Any evaluation of the background check will be subject to an individualized assessment, taking into account the applicant’s or employee’s specific record and the responsibilities and requirements of the particular role.

    A Note on Recruiting Outreach

    We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.

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