Senior Data Scientist

🔥 10 hours ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pagaleve

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

💳 Fintech

🛍️ eCommerce

👥 B2C

💰 Debt Financing on 2022-08

Fintech • eCommerce • B2C

Pagaleve is a financial technology company that enables users to make purchases in installments without interest using the Pix payment method. With a mobile app, customers can conveniently manage their shopping experiences across thousands of partner stores offering various goods, from clothing to electronics. Pagaleve is designed to simplify the payment process for both consumers and retailers, emphasizing security and ease of use.

📋 Description

• Develop, test, and enhance machine learning models applied to credit, fraud, risk, and user behavior • Explore new techniques, variables, and analytical approaches focused on delivering real business impact • Participate in the full end-to-end model lifecycle, including the design, implementation, and maintenance of data and ML pipelines in production, ensuring stability and performance • Work closely with Engineering, Product, and Risk teams to transform business problems into analytical solutions and scalable models • Conduct exploratory analyses, tests, experiments, and model performance evaluations • Monitor business and model performance metrics, helping identify opportunities for improvement • Contribute to the team’s development best practices, version control, and technical quality

🎯 Requirements

• Previous experience in Data Science, Machine Learning, or Analytics • Strong foundation in statistics, predictive modeling, and data analysis • Experience with Python and machine learning libraries • Familiarity with supervised models, feature engineering, and model evaluation • Experience with SQL and large volumes of data • Curiosity to explore new approaches and a commitment to continuous learning • Analytical, pragmatic mindset and comfort working in dynamic environments with rapidly changing priorities • Strong communication skills and the ability to collaborate effectively with different teams • Preferred: experience in fintech, credit, fraud, risk, or payments • Preferred: experience with models in production or MLOps topics • Preferred: familiarity with gradient boosting, neural networks, Graph Neural Networks, or LLMs • Preferred: experience with Foundational Models and embeddings • Preferred: experience working in cloud environments • Preferred: knowledge of Airflow, MLflow, Feast, or similar tools • Preferred: advanced English proficiency

🏖️ Benefits

• Contractor (PJ) employment model • Competitive compensation • Health insurance covering 100% of the employee and 75% of the first dependent • iFood Benefits • Birthday month day off • Group life insurance • Discount coupon at our partner stores • Fully remote work