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.