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) - São Paulo - Indaiatuba
**Função**: Data & Analytics (CA)
**Título**: Data Scientist - 88442
**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
- Research and leverage state of art modeling techniques, participate in modeling innovation
- 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**
- Microsoft Office skills are required (e.g.
Excel, Powerpoint, Word, Outlook);
- Advanced English level is mandatory (written and verbal skills);
- Experience and programming skills in using data modelling software such as SAS, Python and/or R;
- Strong ability to query data sources directly using SQL like query languages and/or PL/SQL programming;
- 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.
**What 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 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;
- Programming experience in Visual Basic for Applications (VBA) is a plus.
**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.