Ger. Coe Data and Analytics

Location : BAL - SEDE
City : Sao Paulo
State : São Paulo (BR-SP)
Country : Brazil (BR)
Requisition Number : 37433
Bunge has an exciting opportunity available for a Data Analytics Manager (Data Scientist, Manager). In this role you will be part of a global team working on challenging, meaningful projects impacting core business activities. Since 1818, Bunge has been connecting farmers to consumers to deliver essential food, feed, and fuel to the world. Looking to the future, our ambition is to continuously reinvent ourselves, leveraging data to be at the forefront of analytics, technology, and talent to accomplish our purpose in a better, faster, and simpler way. Bunge is committed to operating and thriving in the digital world - creating world class agile teams where teammates are empowered and encouraged to collaborate and test and learn to succeed.
At Bunge, people do not just come here to work, they come here to grow - solving challenges that directly impact the world with a diverse team of thinkers and doers. Bunge offers a strong compensation and benefits package, generous paid time off program, flexible work arrangements, and opportunity to progress. Our hybrid work environment provides a balance of in-office and remote work.
Most importantly, in all we do we live our values:
- 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
**Overview**:
We are seeking a highly motivated and experienced Data Analytics Manager (Data Scientist, Manager), with strong expertise in optimization and to join our growing team. As Principal Data Scientist, you will be responsible for leading a team of data scientists, engineers, and machine learning engineers in developing and implementing data-driven solutions to business problems. You will also be responsible for working with cross-functional teams to identify and prioritize data analytics initiatives.
**Essential Functions**:
- Main Accountabilities (List 6-8 major areas of responsibilities in order of importance, and purpose of these activities:
- Design, create, test, and implement complex models and algorithms that drive analytical solutions throughout the organization.
- Lead a team of data specialists.
- Conduct advanced statistical and other analyses to provide actionable insights, identify trends, and measure performance.
- Collaborate with business analyst and understand business problems to implement scalable and sustainable solutions.
- 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.
- Establishes and implements organization, function and/or sub-function short to mid-term (1-3 years) strategy. Projects/initiatives lead have impact on business on a domestic or international scale; Is recognized as an external thought leader within strategic function or discipline.
- Accountable for the budget, performance and results of a medium-sized team or multiple small teams. Addresses issues with impact beyond own team based on knowledge of related disciplines.
- Responsible for the roadmap execution and adjustment
- Leads large projects/initiatives; AND/OR provides leadership and direction through managers, professionals and support. Develops or contributes to the development of short to mid term (1-3 years) talent optimization plans to execute on strategies in job area.
**Minimum Requirements**:
- Education/Experience (Identify types and length of education and experience needed to acquire the necessary skills and knowledge to accomplish the desired end results. Some examples are education & training, and years of experience):
- Well-versed in Data Science models; Advanced knowledge in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming.
- Have scientific and industrial maturity while delivering designs and algorithms to make and quantify cross-organization trade-offs.
- Plays a significant role in developing other juniors, acts as a technical consultant to product managers, and is valued as an asset to any data science projects.
- Domain expert and functional advisor for business stakeholders
- Handle most of the day-to-day communications with the product owners.
- Leads all internal meetings as well as weekly or fortnightly reports on the team's progress.
- Divide their project into workstreams led by Senior Data Scientists and delegate tasks efficiently. Ensure that the project is well executed, and deliverables are completed according to the timeline.
- It is recommended to understand parallelization, scalability, and complexity analysis.
- Proficient in

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