Remote Otter LogoRemoteOtter

Staff Data Scientist - Remote

Posted 31 weeks ago
Software Development
Full Time
Mexico

Overview

Empower is searching for a talented and highly analytical data scientist to manage the entire machine learning model development process from conception to deployment with business and engineering stakeholders, including creation of model pipelines, technical development, business validations, implementation and monitoring for our lending products issued by Empower Finance in Mexico.

In Short

  • Develop data standards, analytics pipelines, and new risk models for Empower’s business in Mexico.
  • Collaborate closely with the credit team to influence and use models that solve business problems.
  • Work with Empower Mexico’s leadership team to refine and execute business plans.
  • Partner with other international credit and data science teams.
  • Ensure that team’s work fits within the larger picture.

Requirements

  • Bachelor’s degree in Engineering, Computer Science, or Mathematics.
  • 4+ years of industry experience in data mining, machine learning, statistical analysis, and/or predictive modeling.
  • Deep understanding of statistics and machine learning techniques.
  • Strong programming skills in Python with intermediate to advanced knowledge of SQL.
  • Demonstrable experience with ML packages like scikit-learn, LightGBM, XGBoost.
  • Experience using LLM tools to responsibly accelerate workflow.
  • Knowledge in deep learning and experience with DL toolkits is preferred.
  • Comfort working with a variety of cross-functional partners.
  • Exceptional problem solving and communication skills.
  • Ideal candidate location is in Mexico.

Benefits

  • Competitive salary and generous equity in a profitable, fast-growing company.
  • 100% coverage for medical, dental, vision, and life insurance.
  • Chance to thrive in a small, focused team.
  • Remote-first environment built on trust and outcomes.
  • Twice-yearly company onsites for team connection.
  • Ongoing opportunities for development in a dynamic environment.

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