Your Responsibilities

Would you like to play a part in the next digital transformation? As a Data Scientist II 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 in Asia. As a Data Scientist II, you will use data science and analytics to better understand data patterns, identify opportunities, predict probability of default related to credit risk, among others. You will be based in Indaiatuba, Brazil and align with the JDF Risk Analytics team headquartered in Johnston-Iowa, aiming to execute and deliver the analytics and insights needed to support digital transformation in JDF's international business units. Join a team that is passionate about making a difference by applying data science techniques to solve problems and leverage data as an asset to develop insights and drive action. In addition, you will:

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  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 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 apprised 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, data wranglers and visualization experts distributed across multiple countries.

Required Abilities

What Skills You Need

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  Bachelor's degree in quantitative field (e.g. statistics, data science, mathematics, economics, computer science);
• Advanced English level is mandatory (written and verbal skills);
• Master's degree in quantitative field preferred;
• Proficiency in at least one of the following data science software tools (SAS, Python, R, SQL);
• 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;
• Experience performing statistical analysis of moderate to highly complex structured and unstructured data from multiple sources that may not have common identifiers;
• Microsoft Office skills are required (e.g. Excel, Powerpoint, Word, Outlook),
• Availability to work early morning and/or late hours necessary to interact with colleagues and internal customers across Asia.

Whats Makes You Stand Out

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  Experience validating credit risk models and performing quantitative analyses for ongoing model improvement;
• Previous experience with credit risk models (PD, LGD, and EAD) that support the loss estimation and stress testing;
• Experience using tools like Databricks, github, etc;
• Experience using visualization tools to present insights (e.g. Tableau, R Shiny, Data studio, Plotly and etc);
• Demonstrated ability to function in a fast paced, collaborative team environment that is distributed across time zones and locations,
• Experience working with Agile Project Teams, Scrum Teams or Product Teams.