Resilientco
Resilientco1mo ago

Senior Data Scientist

BrazilBrazilRemoteContractorsenior
Data ScienceData ScientistDataData & AI
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Quick Summary

Overview

Our partner is a leader in AI and data-driven eCommerce funding, providing non-dilutive capital that helps founders grow without sacrificing equity. We are hiring a Senior Data Scientist to shape the models, experiments, and analytics that drive our risk, underwriting, and revenue decisions.

Technical Tools
bigquerydbtpythonsnowflakesqlab-testingcode-reviewdata-analysisecommerceforecastingmachine-learningpair-programming

Our partner is a leader in AI and data-driven eCommerce funding, providing non-dilutive capital that helps founders grow without sacrificing equity. We are hiring a Senior Data Scientist to shape the models, experiments, and analytics that drive our risk, underwriting, and revenue decisions.

This hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into production-grade models and measurable outcomes that responsibly scale funding for eCommerce businesses.

  • Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation.
  • Develop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance.
  • Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability.
  • Partner with Product 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.
  • 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.
  • Experience with credit risk, underwriting, fraud/risk signals, or financial forecasting.
  • Experience with modern data tooling and warehouses such as BigQuery or Snowflake and transformation frameworks like dbt.
  • Familiarity with MLOps patterns (model deployment, monitoring, feature stores, orchestration) and cloud environments.
  • Experience working with messy third-party data sources (banking data, eCommerce platforms, marketing signals).

    • Location & Eligibility

    Where is the job
    Brazil
    Remote within one country
    Who can apply
    BR
    Listed under
    Brazil

    Listing Details

    Posted
    March 25, 2026
    First seen
    April 7, 2026
    Last seen
    May 24, 2026

    Posting Health

    Days active
    46
    Repost count
    0
    Trust Level
    32%
    Scored at
    May 24, 2026

    Signal breakdown

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    Resilientco
    Resilientco
    lever
    Employees
    5
    Founded
    2020
    Domain
    resilientco.au
    Jobs
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