Data Scientist - Indaiatuba/SP
Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 9, 2026. John Deere scores B on the Alion truth index.
We work to help life advance, and we are always looking for innovative people who can contribute to our mission. How about becoming part of our team?
Location: Brasil (BR) - São Paulo - Indaiatuba
Function: Data and Analytics (CA)
Title: Data Scientist - Indaiatuba/SP - 125175
As a Data Scientist for John Deere Financial, you will be responsible for developing, delivering and validating predictive analytics models to increase and accelerate Data Science & Analytics capabilities working in support of JDF’S international credit portfolios (Europe, Asia and Latin America). You will use data science and analytics to better understand data patterns, identify opportunities, predict probability of default related to the credit risk, among others. You will be part of a global analytics organization, working from our Global Capability Center in Indaiatuba, Brazil, while partnering with the John Deere Financial International Risk Analytics team in Johnston, Iowa, USA. This is a unique opportunity to apply cutting-edge analytics, machine learning, and data science techniques to real-world business challenges, gaining exposure to international markets while helping shape the future of credit risk decisioning and portfolio management. Join a team that is passionate about making a difference by applying different techniques to solve problems and leverage data as an asset.
Ps: English is required for all communications and documents
Main Responsibilities
- Participate in business partner meetings, brainstorming sessions, and workshops to capture business objectives and prioritize opportunities;
- Identify best analytical techniques that can be effectively applied to achieve business objectives and interpret the next best action through data driven insights;
- Build, test and deploy credit scoring and other types statistically-based predictive models;
- Maintain and enhance the existing models through various statistical tests;
- Develop, implement and analyze reports to keep business partners and management informed of key risk and performance information;
- Investigate potential areas of concern and communicate results of analysis to senior management;
- Work in a highly interactive, team-oriented environment with data scientists, data analytics catalysts, analytics data engineers and business intelligence analysts distributed across multiple countries.
Skills You Need
- Bachelor’s degree in quantitative field (e.g statistics, engineer, data science, mathematics, economics, computer science among others);
- Advanced English level is mandatory (written and verbal skills);
- Previous hands-on experience building predictive models through statistical modeling techniques. Analytical approach will include but is not limited to logistic regression, survival analysis, transition matrix, time series, neural networks, machine learning, among others;
- Proficiency in at least one of the following data science software tools (SAS, Python, PySpark, R, SQL);
- Microsoft office skills are required (e.g. Excel, Powerpoint, Word, Outlook);
- Demonstrated ability to communicate complex analytical insights in a manner which is clearly understandable by non-experts;Commitment to team success and a proactive, collaborative approach to problem solving and different cultures and time zones.
What Makes You Stand Out
- Master’s degree in quantitative field;Previous experience with credit risk parameters (e.g. PD, LGD, and EAD) that support the expected credit loss estimation;
- Experience applying Generative AI, Large Language Models (LLMs), or AI-assisted analytics solutions to improve business processes, decision-making, or productivity;
- Familiarity with cloud-based analytics platforms and modern data science environments (e.g., Databricks, AWS, Azure, or similar);
- Experience performing statistical analysis of moderate to highly complex structured and unstructured data from multiple sources that may not have common identifiers.
Our Main Benefits
- Variable compensation
- Health Insurance
- Dental Plan
- Life Insurance
- Private Pension Plan
- Vision Care Benefit
- Vaccination reimbursement
- Corporate University
- TotalPass
- Depending on the location, on-site cafeteria, meal voucher, or food allowance
- Pharmacy assistance
- And more
Our Recruitment Process
The selection process begins with your application. For some positions, additional assessments may be required. You will have the opportunity to meet members of the team during the interview stages!
Our recruitment process is flexible in terms of timing, so there is no need to worry. Our Talent Acquisition team is committed to providing you with the best possible candidate experience. We carefully review all applications and provide feedback at every stage of the process. In addition, all guidance and next steps will be shared via email.
About John Deere
John Deere is a global leader in providing advanced products, technology, and services for customers who play an essential role in agriculture, construction, forestry, and other industries. Our mission is to help meet the world’s growing need for food, fuel, shelter, and infrastructure, while promoting sustainability and preserving the planet we call home.
We innovate to drive productivity and protect our planet-and we invite you to be part of this journey. Together, we will create, test, and challenge ourselves so that life can keep moving forward.