Remote (Global) Full-time

Tilt is hiring a Staff Data Scientist - Mexico

About the Role

Tilt is seeking a Staff Data Scientist to manage the entire machine learning model development lifecycle for our lending products in Mexico. You'll be instrumental in establishing data standards, building analytics pipelines, and developing new risk models to drive business growth and help customers improve their financial situations.

What You'll Do

  • Develop data standards, analytics pipelines, and new risk models to uncover novel insights for Tilt's business in Mexico.
  • Collaborate closely with the credit team to influence and use models, monitor business outcomes, and enhance analytical tools.
  • Work with Tilt Mexico’s leadership team to refine and execute business plans and agenda.
  • Partner with other international and US credit and data science teams to identify transferable learnings, strategies, and synergies and help implement them.
  • Partner with leaders in product, engineering, marketing, and finance to ensure the team’s work aligns with broader company objectives.

What We're Looking For

  • 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, including regression, classification, clustering and optimization, with experience building predictive models from scratch.
  • Strong programming skills in Python with intermediate to advanced knowledge of SQL.
  • Demonstrable experience with ML packages: scikit-learn, LightGBM, XGBoost, SparkML, etc.
  • Experience using LLM tools like Github Copilot, Cursor, or Claude CodeWindsurf to responsibly accelerate workflow.
  • Understanding of the key tradeoffs between major model providers like Anthropic, OpenAI, and Google.
  • Comfort working with a variety of cross functional partners in tech, product, credit, and business.
  • Exceptionally strong problem solving and communication skills, with the ability to dive into details and communicate effectively with an executive audience.
  • Ideal candidate location is in Mexico.

Nice to Have

  • Knowledge in deep learning and experience with DL toolkits (Tensorflow, Keras, PyTorch).

Technical Stack

  • SQL, Python, scikit-learn, LightGBM, XGBoost, SparkML, Tensorflow, Keras, PyTorch

Team & Environment

This role reports to the Head of International Data Science for Tilt, fostering close collaboration with global teams.

Benefits & Compensation

  • Virtual-first teamwork with WFH office reimbursement.
  • Competitive pay and generous equity.
  • Flexible health plans at every premium level with substantial subsidies.
  • Direct exposure to the leadership team.
  • Paid global onsites twice yearly.
  • Growth opportunities based on contributions.

Work Mode

This is a global position based in Mexico, operating under a virtual-first work model.

Tilt is an equal opportunity employer committed to a culture where every voice is valued and mutual respect is non-negotiable.

Required Skills
SQLPythonscikit-learnLightGBMXGBoostSparkMLTensorflowKerasPyTorchMachine LearningStatistical AnalysisData ModelingA/B TestingExperimentationCommunication
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About company
Tilt

Tilt provides mobile-first financial products and a machine learning-powered credit system that looks beyond credit scores, using over 250 real-time financial signals to recognize potential.

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Job Details
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Posted 8 months ago