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.

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:

• 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 analysts to understand business problems and implement scalable and sustainable solutions.
• Coordinate with MIS, Digital Specialists, and Data Engineers to deliver holistic analytical solutions.
• Communicate 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.
• Establish and implement short to mid-term (1-3 years) strategy for the organization and function.
• Accountable for the budget, performance, and results of a medium-sized team or multiple small teams.
• Responsible for the roadmap execution and adjustment.
• Lead large projects/initiatives; provide leadership and direction through managers, professionals, and support.
• Develop or contribute to the development of short to mid-term (1-3 years) talent optimization plans.
• Stakeholders of this role include Leadership team members, business leaders, and technical experts.

Minimum Requirements:

• Education/Experience: Well-versed in Data Science models; Advanced knowledge in math, analytics, and computer science, knowledge of machine learning methods, statistical models, and 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 and acts as a technical consultant to product managers.
• 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.
• Proficient in data science, optimization, machine learning, Python, R, SQL, data analysis, analytical skills, teamwork, and communication skills.
• Advice Business on how to structure the problems/hypotheses they want to address and convert it into an advanced analytics approach.
• Deep understanding in code optimization, library selection.

Bunge (NYSE: BG) is a world leader in sourcing, processing, and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe.

Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status.