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Senior Data Scientist

3 meses atrás

São Paulo, São Paulo, Brasil Bunge Tempo inteiro

Location :
BAL - SEDE

City :
Sao Paulo

State :
São Paulo (BR-SP)

Country :
Brazil (BR)

Requisition Number : 33499

Bunge has an exciting opportunity available for a Senior Data Scientist.

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 don't 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 Senior Data Scientist with strong expertise optimization in supply chain to join our growing team.

As Senior Data Scientist, you will be responsible for driving the construction of optimization models to solve business problems and communicate to the technical team and assure the delivery matches business expectations.

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.
  • 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.
  • Develops plans within the Supply chain. Is recognized as an expert in own area within the organization.

Requirements:

  • PhD in STEM field with research experience in Data Science or experience Post graduate degree in STEM field with 35 years experience as Lead Data Scientist
  • Expert in programming languages like Python or R
  • 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, revisits highperforming systems, write reusable code, builds resilient data pipelines in the cloud environment, and prepares 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
  • Proficient in data science, optimization, machine learning, Python, 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 a 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.
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.

The company is headquartered in St.

Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.

Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, s