
Cientista de Dados II
- São Paulo - SP
- Permanente
- Período integral
- Act as One Team by fostering inclusion, collaboration, and respect
- Drive for Excellence by being agile, innovative, and efficient
- Do What's Right by acting safely, ethically, and sustainably
- Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.
- Gives technical support for data scientists across multiple squads.
- Collaborate with business analyst and understand business problems to implement scalable and sustainable solutions.
- Define development standards and solution approach.
- Design and structure reusable codebase
- Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions
- Communicates the design, functioning and output of the analytical models/solutions developed
- Ensure timely analysis and testing for regular maintenance of solutions over time
- Communicate data insights to stakeholders.
- Make decisions aligned to Bunge's global strategy, business needs and financial goals and explore new perspectives by driving innovation.
- Cultivate strong relationships and networks, effectively influence others, and develop talent to excel in their current and future roles.
- Develop data driven strategies aligned with Bunge's priorities, energize others to action through clear and compelling communication.
- Proficient in data science, optimization, machine learning, programming languages like Python or R, SQL, data analysis, analytical skills, teamwork, and communication skills.
- Can help business structure the problems/hypotheses they want to address and convert it into an advanced analytics approach including machine learning and optimization components (e.g., Constraints, penalties, and objective function
- Develop business awareness of possible use cases and help them to understand the necessary concepts of data science and optimization to ensure better communication across functions.
- PhD in STEM field with research experience in Data Science or experience Post graduate degree in STEM field with 3-5 years.
- Advanced knowledge in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.
- Avoid greenhorn mistakes, avoid logical flaws in the models, revisit high-performing systems, write reusable code, build resilient data pipelines in the cloud environment, and prepare immaculate data.
- Capable of mentoring Associates and other Data scientists and answer business questions to higher authorities and management.
- Model behavior as a great team player and teach new ideas
- Communications with the project stakeholders on a regular basis