Thaloz

Thaloz

Thaloz offers end-to-end product development solutions and top-tier LATAM talent to enhance businesses through agile product development, simplifying the journey from idea to market.

Internet Software & Services
51-250
Founded 2020

Description

  • Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation.
  • Develop, evaluate, and iterate on predictive models for credit and risk scoring, revenue forecasting, and policy performance.
  • Own model performance and monitoring by defining success metrics, investigating drift, and improving data quality and feature reliability.
  • Partner with Product and Engineering to productionize models and analytics with an emphasis on reliability, reproducibility, and maintainability.
  • Perform exploratory data analysis, feature engineering, and robust validation on real-world messy data.
  • Communicate insights and recommendations to technical and non-technical stakeholders through documentation and presentations.
  • Improve analytical standards, code review practices, and documentation to raise technical quality.
  • Mentor and support team members through pairing, feedback, and sharing best practices.

Requirements

  • 5+ years of professional experience in data science, applied machine learning, or a related quantitative role.
  • Strong foundations in statistics and experimentation, including hypothesis testing, causal reasoning, and evaluation design.
  • Proven experience building and shipping predictive models, including classification, regression, and time series.
  • Experience measuring real-world impact of models and analytics.
  • Strong proficiency in Python and SQL and comfort working with production data workflows.
  • Experience defining success metrics, aligning with stakeholders, and delivering end-to-end outcomes.
  • Strong written communication skills and a pragmatic approach to fast-moving environments.
  • Experience owning model performance, monitoring for drift, and improving feature reliability.
  • Experience with credit risk, underwriting, fraud or risk signals, or financial forecasting is preferred.
  • Experience with BigQuery or Snowflake and transformation tools such as dbt is preferred.
  • Familiarity with MLOps patterns such as model deployment, monitoring, feature stores, and orchestration is preferred.
  • Experience working with messy third-party data sources such as banking data, eCommerce platforms, or marketing signals is preferred.

Interested in this position?

Apply directly on the company website

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