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In office (Indaiatuba)

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Jul 7, 2026. John Deere scores B on the Alion truth index.

Overview
Company
Impact
Profile match
John Deere, the brand of Deere & Company, is a manufacturer of agricultural, construction, forestry and turf machinery, precision agriculture technology and related financing, headquartered in Moline, Illinois. Founded in 1837 by blacksmith John Deere and listed on the New York Stock Exchange, it runs factories and technology centers in the United States, Germany, France, Brazil, Poland, India and other countries and sells through a worldwide dealer network. It hires software and product engineers, production supervisors, supply management and marketing staff, territory customer experience managers and many students and interns across sites such as Moline, Waterloo, Indaiatuba and Mannheim.

Trabalhamos para que a vida possa avançar e estamos sempre à procura de pessoas inovadoras que possam contribuir com a nossa missão. Que tal fazer parte do nosso time?

Local Principal: Brasil (BR) - São Paulo - Indaiatuba

Função: Data and Analytics (CA)

Título: Data Scientist - Model Validation - Indaiatuba/SP - 122077

As a Data Scientist with John Deere Financial in Indaiatuba, Brazil, you will be responsible for validating predictive models as a member of JDF's global Model Risk Management team. Working closely with colleagues across Brazil, India, and the United States, you will apply analytical rigor, critical thinking, and effective challenge to assess model performance, identify risks, and strengthen model governance. Join a team that is passionate about ensuring models and data are used responsibly to support sound business decisions and effective risk management practices.

ENGLISH IS REQUIRED FOR ALL COMMUNICATIONS AND DOCUMENTS (Resume).

Main Responsibilities

  • Perform validation activities for models covering areas including Credit Risk, Treasury, Accounting, Sales and Marketing;
  • Contribute to various projects relating to risk identification and model validation processes;
  • Perform validation of traditional statistical models as well as machine learning and GenAI-based analytical solutions;
  • Evaluate compliance of models with internal Model Risk Management policies and regulatory expectations;
  • Assess model limitations, risks, controls, and business usage to ensure appropriate governance and risk mitigation.

Skills You Need

  • Bachelor’s, Degree in Economics, Computer Science, Data Analytics, Data Science, Engineering, Math, Statistics, or a related quantitative field;
  • Advanced English (broad vocabulary, strong grammar, able to lead meetings, debate, negotiate and conduct training sessions);
  • Experience in model building and data science;
  • Experience with statistical modelling and data management tools such as Python, R, Databricks and SAS;
  • Demonstrated experience with statistical and machine learning methodologies, including time series analysis, regression techniques, classification models, and credit scoring frameworks;
  • Commitment to team success and a proactive, collaborative approach to problem solving and different cultures and time zones;
  • Good communication and teamwork skills;
  • Availability for on-site work at the headquarters in Indaiatuba, SP.

What Makes You Stand Out

  • Master's, PhD or specialization in Data Science, Economics, Statistics, Mathematics, Computer Science, Financial Engineering, or a related quantitative field.
  • Experience performing independent model reviews, conceptual soundness assessments, and outcome analysis;
  • Understanding of SR 11-7 ,SR 26-2, CECL requirement and model validation practices;
  • Understanding of model lifecycle management, model risk governance, and validation frameworks;
  • Experience applying statistical analysis and analytical methodologies in analytics projects;
  • Working knowledge of emerging AI and generative AI technologies, with a desire to learn how these tools are evaluated, monitored, and governed in a model risk management framework;
  • Knowledge of finance and accounting concepts;
  • Understanding of the lending/banking industry;
  • Ability to work on multiple projects simultaneously.

Nossos principais benefícios

  • Remuneração variável;
  • Plano de Saúde;
  • Plano Odontológico;
  • Seguro de Vida;
  • Previdência Privada;
  • Benefício Ótica;
  • Reembolso vacina;
  • Universidade Corporativa;
  • TotalPass;
  • Dependendo da unidade, você terá restaurante no local, vale refeição ou alimentação;
  • Auxílio farmácia;
  • Entre outros

Nosso Processo Seletivo

A seleção começa com a sua inscrição, para algumas vagas, existem alguns testes adicionais. Você terá a possibilidade de conhecer pessoas do time nas entrevistas! Nosso processo seletivo é flexível em termos de tempo, então não se preocupe! Nossa equipe de Talent Acquisition está comprometida em proporcionar a melhor experiência para você. Analisamos todas as candidaturas cuidadosamente e fornecemos feedback em todas as etapas do processo. Além disso, todas as orientações serão enviadas por e-mail!

Sobre a John Deere

A John Deere é líder global no fornecimento de produtos, tecnologia e serviços avançados para clientes que desempenham um papel essencial na agricultura, construção, florestal entre outros setores. Nosso objetivo é atender à crescente necessidade mundial de alimentos, combustível, abrigo e infraestrutura, enquanto promove a sustentabilidade e a preservação do planeta que chamamos de lar.

Inovamos para impulsionar a produtividade e proteger nosso planeta e convidamos você a fazer parte dessa história. Trabalharemos juntos para criar, testar, superar para que para que a vida possa avançar.

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