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Data Scientist II - Remote

Posted 12 weeks ago
Data Analysis
Full Time
Argentina, Mexico

Overview

TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The TrueML team includes inspired data scientists, financial services industry experts, and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences.

In Short

  • Join a team dedicated to creating a data-driven culture.
  • Develop algorithms that enhance the collections process.
  • Lead automation initiatives in the company.
  • Provide insights that contribute to customer experience.
  • Independently support data science projects from formulation to deployment.
  • Identify and understand critical business challenges.
  • Conduct exploratory data analysis to uncover trends.
  • Utilize statistical techniques and machine learning algorithms.
  • Collaborate with stakeholders at all levels.
  • Unlimited PTO and medical benefit contributions.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, or related field.
  • Minimum 3+ years of data science experience.
  • Strong foundational skills in Python, pandas, SQL.
  • Hands-on experience with machine learning tools and frameworks.
  • Strong communication and interpersonal skills.

Benefits

  • Unlimited PTO.
  • Medical benefit contributions in congruence with local laws.
TrueML logo

TrueML

TrueML is a mission-driven financial software company focused on enhancing customer experiences for distressed borrowers. By leveraging machine learning, TrueML aims to provide personalized, digital-first financial solutions that cater to individual lifestyles. The company is composed of a diverse team of data scientists, financial services experts, and customer experience enthusiasts dedicated to ensuring that no one is excluded from the financial system. TrueML is committed to modernizing its infrastructure and improving its DevOps capabilities to empower engineers and streamline the software development lifecycle, ultimately delivering greater value to clients.

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