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Data Scientist - Remote

Posted 1 week ago
Data Analysis
Full Time
Worldwide
$115,000 - $145,000/year

Overview

Zest AI is focused on improving AI for consumer lending decisions, aiming to make credit fair and transparent for everyone through innovative risk models.

In Short

  • Translate unstructured business problems into machine learning projects.
  • Collaborate with Engineers, Product Managers, and Business Analysts.
  • Design and implement generalizable models for predicting outcomes.
  • Build demos and guidance documentation for training.
  • Implement models in real-world settings and develop prototypes.
  • Requires a Master’s degree in a relevant field.
  • 2 months of experience in predictive analytics and software engineering.
  • Experience with Python, C, JavaScript, SQL, or Java.
  • Knowledge in big data and data analytics.
  • Dataset validation experience required.

Requirements

  • Master’s degree in Computer Science, Data Analytics, Physics, Data Science, or related.
  • 2 months of relevant experience.
  • Familiarity with predictive analytics and software engineering.
  • Proficiency in programming languages such as Python, C, JavaScript, SQL, or Java.
  • Experience with big data technologies.
  • Strong data analytics skills.
  • Experience in dataset validation.

Benefits

  • Opportunity to work remotely.
  • Competitive salary range of $115,000-$145,000 per year.
  • Work in a diverse and inclusive environment.
  • Engage in meaningful projects that impact consumer lending.
  • Collaborate with a dynamic and cross-functional team.

Z.A

Zest AI

Zest AI is a pioneering company in the field of artificial intelligence for consumer lending, established in 2009. The company specializes in developing a Model Management System that empowers lenders to make informed decisions, enhance loan offerings, and streamline compliance processes. With a mission to ensure fair and transparent credit access for all, Zest AI creates inclusive risk models that enable financial institutions to extend credit to deserving individuals without increasing risk. The company is dedicated to diversity, equity, and inclusion, actively encouraging professionals from underrepresented groups in technology and financial services to join their team.

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