Reconhecemos e valorizamos a pluralidade dos nossos times. Por isso, criamos condições para a equidade de oportunidades através de políticas, práticas e atitudes que promovam uma cultura de respeito e o desenvolvimento de talentos.
Buscamos cada vez mais diversidade de gênero, etnias, religiões, LGBTQIA+, deficiências, culturas e histórias para impulsionar a inovação em nosso DNA.
E estamos sempre à procura de mentes inovadoras que possam contribuir com a nossa missão. Que tal fazer parte do nosso time?
**Local Principal**: Brazil (BR) - Iowa - Indaiatuba - SP
**Função**: Data & Analytics (CA)
**Título**: Data Scientist II - 96452
**Your 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 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**
- 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**:
- 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.
**O Que Você Receberá**
Na John Deere, você conseguirá desenvolver uma carreira que levará você aonde quer chegar. Além de produzirmos máquinas conectadas e inteligentes, com a mais alta qualidade, criamos soluções e serviços que garantam que nossos clientes possam gerir seus negócios de forma sustentável e produtiva. Com conexões tecnológicas, sociais e humanas, você terá liberdade de explorar novos projetos e pensar de forma inovadora.