Senior Data Scientist

🕒 August 12

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 46%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 92 days.
• Jobs at this company usually fill in 39 days.
• Reposted 2 times.
• No salary listed.

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Nagro Crédito Agro

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🌾 Agriculture

💳 Fintech

💸 Finance

Agriculture • Fintech • Finance

Nagro Crédito Agro is a Brazilian fintech lender focused on providing 100% digital credit and financing solutions tailored to rural producers and agribusiness. The company uses algorithms and artificial intelligence to analyze individualized credit profiles and deliver fast credit decisions (often within 48 hours), offering personalized loan products, digital onboarding, and an emphasis on relationship management for farmers. Nagro operates as a banking correspondent and originator of agricultural receivables investment funds, partnering with licensed financial institutions rather than acting as a bank itself.

📋 Description

• Develop credit risk models to expand analysis and lending capabilities in the agribusiness sector. • Define technical approaches, technology stacks, and standards for developing models and analytical pipelines. • Document and communicate results clearly and in an actionable manner to different audiences and stakeholders. • Lead presentations and feedback cycles with internal and external clients. • Collaborate with Engineering and Product teams to understand needs and identify opportunities for improvement from a modeling perspective. • Explore new variables and data sources to increase model predictive power. • Evaluate and adopt new techniques and technologies to improve the efficiency and accuracy of risk solutions. • Monitor the alignment between technical data science decisions and business objectives. • Serve as a technical reference for data scientists and analysts, supporting methodological choices and code and model reviews. • Lead the evolution of risk model architecture, covering features, validation, monitoring, and MLOps. • Evaluate trade-offs among model complexity, performance, interpretability, and governance. • Support the technical planning of medium- and long-term analytics initiatives. • Develop intelligence solutions to support stages of the agribusiness credit journey within AgRisk, Nagro.co’s hub bringing together data, technology, governance, and analytics.

🎯 Requirements

• Strong command of Machine Learning applied to real-world risk and credit problems, including model validation, bias control, temporal stability, and explainability. • Hands-on experience with feature engineering and evaluating variable impact in production environments. • Ability to review, refactor, and improve the quality of analytical code, with a focus on efficiency and reproducibility. • Experience in credit risk modeling. • Participation in analytical architecture decisions involving data, models, and pipelines. • Proficiency in querying and manipulating databases for model development and validation. • Familiarity with version control tools such as Git and Bitbucket. • Clear and concise communication skills for presenting technical results to different audiences. • Ability to work independently and collaboratively in multidisciplinary teams. • Bachelor’s degree. • Preferred qualifications: experience with software engineering and ML Engineering; a critical perspective on LLMs and AI agents; experience in agile environments; knowledge of Node.js or Java; experience with Hadoop, Spark/PySpark, or Polars; familiarity with cloud environments, preferably GCP.

🏖️ Benefits

• Meal/Food Allowance • Wellhub (Gympass) • Uniodonto Dental Plan • Flexible Benefits Card • Childcare Assistance • Life Insurance • Language Allowance • Pet Life and Dog Life • English Pass • Unimed Health Plan • CLT employment or contractor arrangement (PJ)

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