Resilient Co

Resilient Co

Resilient Co is a technology consulting company that empowers businesses with smart solutions and diverse teams, offering resilient support in the dynamic tech industry.

Professional Services
11-50
Founded 2020

Description

  • Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation.
  • Develop, evaluate, and iterate predictive models for credit/risk scoring, revenue forecasting, and policy performance.
  • Own model performance and monitoring by defining success metrics, investigating drift, and driving improvements to data quality and feature reliability.
  • Partner with Product and Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability.
  • Perform exploratory data analysis, feature engineering, and robust validation on real-world, messy data.
  • Communicate insights and recommendations clearly 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 (classification, regression, time series) and measuring real-world impact.
  • 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.
  • Nice to have: experience with credit risk, underwriting, fraud/risk signals, or financial forecasting.
  • Nice to have: experience with modern data tooling and warehouses (BigQuery, Snowflake), transformation frameworks like dbt, MLOps patterns (deployment, monitoring, feature stores, orchestration), cloud environments, and working with messy third-party data sources (banking, eCommerce platforms, marketing signals).

Benefits

  • Remote contractor role open to candidates in Brazil, Argentina, Chile, Colombia, Peru, and Bolivia.
  • Work at a company positioned as a leader in AI and data-driven eCommerce funding.
  • Opportunity to influence high-impact risk and underwriting decisions and to mentor and raise analytical standards across the team.

Interested in this position?

Apply directly on the company website

Apply Now

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