Flash

Data Science Analyst, Mid-Level

Flash

full-time

Posted on:

Location Type: Remote

Location: Brazil

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About the role

  • Act as an enabling team for predictive intelligence and AI solutions, developing models and tools to solve internal business problems (e.g., churn, anti-fraud, lead scoring, financial projections, etc.).
  • Work in an integrated way with teams such as Product, Sales, Finance and Operations, translating strategic challenges into data- and algorithm-based solutions.
  • Contribute to the company’s AI-First strategy by promoting the use of machine learning models and AI agents in internal workflows and decision-making processes.
  • Use Python, SQL and machine learning libraries (e.g., Scikit-learn, XGBoost, Statsmodels, etc.) for data exploration, model development and validation.
  • Build solutions within Dataflash (internal data and AI platform), including predictive models and generative AI agents, using techniques such as RAG, function calling, etc.
  • Ensure best practices for versioning, reproducibility, performance evaluation and explainability of implemented models.
  • Apply Advanced Analytics techniques — statistical analysis (e.g., multivariate regression, inference, time series, hypothesis testing, causal models, A/B experimentation) — to generate insights and support strategic decisions.

Requirements

  • Proficiency in Python, SQL and machine learning libraries (e.g., Scikit-learn, XGBoost, Statsmodels, etc.) for data exploration, model development and validation;
  • Experience building Machine Learning models, including Regression, Time Series and Classification;
  • Applying models in a business context;
  • Knowledge of Generative Artificial Intelligence and Large Language Models (LLMs);
  • Experience using AI/LLMs to build data products in corporate environments.
Benefits
  • Flash Card (the much-loved pink one!) with flexible benefit options: meal, food, mobility, health, education, culture and wellness
  • Health insurance
  • Life insurance
  • Extended maternity and paternity leave + childcare assistance
  • Day off on your birthday 🎂
  • Hybrid and flexible work model + home office allowance + in-office experiences
  • Exclusive partner discounts via the Flash app
  • TotalPass
  • Pet plan with Guapeco
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLmachine learningScikit-learnXGBoostStatsmodelsstatistical analysisRegressionTime SeriesClassification