
Data Science Analyst, Mid-Level
Flash
full-time
Posted on:
Location Type: Remote
Location: Brazil
Visit company websiteExplore more
Tech Stack
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