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Data Scientist

Warszawa, Masovian, PL, 02-146

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Employment
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Apply at Bunge

What you’ll work on

Full posting
  • Design, implement and test reusable codebase utilizing data science best practice and supports the sustainability of our technical portfolio

  • Develop deep understanding of Bunge’s internal data products that will drive critical commercial insights

  • Collaborate with various stakeholders to understand business problems to implement scalable and sustainable solutions

From the employer’s posting
Main Accountabilities: Design, implement and test reusable codebase utilizing data science best practice and supports the sustainability of our technical portfolio Develop deep understanding of Bunge’s internal data products that will drive critical commercial insights
Design, implement and test reusable codebase utilizing data science best practice and supports the sustainability of our technical portfolio Develop deep understanding of Bunge’s internal data products that will drive critical commercial insights Collaborate with various stakeholders to understand business problems to implement scalable and sustainable solutions
Develop deep understanding of Bunge’s internal data products that will drive critical commercial insights Collaborate with various stakeholders to understand business problems to implement scalable and sustainable solutions Work closely with other Data Scientists and Data Engineers to build and deliver valuable analytical solutions

What you’ll bring

All qualifications

Core experience

  • 3+ years of hands-on working experience and fluency in Python and SQL
  • Experience writing reusable and maintainable code with version control and automation pipelines
  • Ability to transform a project from POC to production
  • Experience with at least one major cloud platform (GCP, AWS or Azure), with preference to GCP services including but not limited to Compute Engine, Big Query, Cloud Run, and Cloud Composer

Preferred experience

  • Good understanding of software development best practice, and ability to apply that to machine learning projects, including unit tests, CI/CD integration
  • Experience building and deploying resilient data and modeling pipelines in GCP environment
  • Experience using Infrastructure as Code (IaC) such as Terradom
  • Experience implementing Kubernetes and Docker (or similar container engine) solutions
Qualification wording
3+ years of hands-on working experience and fluency in Python and SQL
Experience writing reusable and maintainable code with version control and automation pipelines
Ability to transform a project from POC to production
Experience with at least one major cloud platform (GCP, AWS or Azure), with preference to GCP services including but not limited to Compute Engine, Big Query, Cloud Run, and Cloud Composer
Good understanding of software development best practice, and ability to apply that to machine learning projects, including unit tests, CI/CD integration
Experience building and deploying resilient data and modeling pipelines in GCP environment
Experience using Infrastructure as Code (IaC) such as Terradom
Experience implementing Kubernetes and Docker (or similar container engine) solutions
Education & alternatives
Minimum Requirements: - Post graduate degree in STEM field or Bachelor degree with a combination of years of experience as in Data Science or Computer Science, IT or a related field - Strong foundations in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming

Tools in this posting

  • Python
  • SQL
  • AWS
  • Azure
  • Docker
  • Google Cloud (GCP)
  • Kubernetes
  • Bash
  • BigQuery
Source — Tool mentions in context
- Strong foundations in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming - 3+ years of hands-on working experience and fluency in Python and SQL - Comfortable with scripting language such as bash
- Ability to transform a project from POC to production - Experience with at least one major cloud platform (GCP, AWS or Azure), with preference to GCP services including but not limited to Compute Engine, Big Query, Cloud Run, and Cloud Composer - Creative and self-motivated. Demonstrate drive to learn new skills and solve challenging problems with minimal oversight.
- Experience using Infrastructure as Code (IaC) such as Terradom - Experience implementing Kubernetes and Docker (or similar container engine) solutions - Obtained Google Cloud Professional certifications in area such as MLE, data engineer, DevOps engineer
- Good understanding of software development best practice, and ability to apply that to machine learning projects, including unit tests, CI/CD integration - Experience building and deploying resilient data and modeling pipelines in GCP environment - Experience using Infrastructure as Code (IaC) such as Terradom
- Experience implementing Kubernetes and Docker (or similar container engine) solutions - Obtained Google Cloud Professional certifications in area such as MLE, data engineer, DevOps engineer - Experience working with customer analytics and geospatial data, domain knowledge in global agri-business and food industry is a plus
- 3+ years of hands-on working experience and fluency in Python and SQL - Comfortable with scripting language such as bash - Experience writing reusable and maintainable code with version control and automation pipelines

Job description

View original posting ↗

City : Warsaw State : Mazowieckie (PL-MZ) Country : Poland (PL) Requisition Number : 44369

 

 

Overview:
We are seeking a highly motivated and experienced Data Scientist with strong expertise in commercial analytics to join our growing team. As Data Scientist, you will be a critical member of the Business Technology Data and Analytics team, responsible for implementing the construction and optimization of large-scale models to solve business problems and communicate the value to the business stakeholders.  

 

 

 

Main Accountabilities:

 

 

  • Design, implement and test reusable codebase utilizing data science best practice and supports the sustainability of our technical portfolio
  • Develop deep understanding of Bunge’s internal data products that will drive critical commercial insights
  • Collaborate with various stakeholders to understand business problems to implement scalable and sustainable solutions
  • Work closely with other Data Scientists and Data Engineers to build and deliver valuable analytical solutions
  • Communicates and document the design, functioning and output of the analytical models/solutions developed to a variety of audience
  • Ensure timely deliverables and testing for regular maintenance of solutions over time
  • Communicate data insights and value articulation to business stakeholders
  • Contribute to a culture of learning through development of reusable modules and technical tutorials

 

 

 

Minimum Requirements:

 

 

  • Post graduate degree in STEM field or Bachelor degree with a combination of years of experience as in Data Science or Computer Science, IT or a related field
  • Strong foundations in math, analytics and computer science, knowledge of machine learning methods, statistical models, advanced data science programming
  • 3+ years of hands-on working experience and fluency in Python and SQL
  • Comfortable with scripting language such as bash
  • Experience writing reusable and maintainable code with version control and automation pipelines
  • Ability to transform a project from POC to production
  • Experience with at least one major cloud platform (GCP, AWS or Azure), with preference to GCP services including but not limited to Compute Engine, Big Query, Cloud Run, and Cloud Composer
  • Creative and self-motivated. Demonstrate drive to learn new skills and solve challenging problems with minimal oversight.
  • Act as a great team player in a global environment, take responsibility to consistently build better solutions both in technical quality and business impact

 

 

 

Preferred Qualifications:

 

 

  • Good understanding of software development best practice, and ability to apply that to machine learning projects, including unit tests, CI/CD integration
  • Experience building and deploying resilient data and modeling pipelines in GCP environment
  • Experience using Infrastructure as Code (IaC) such as Terradom
  • Experience implementing Kubernetes and Docker (or similar container engine) solutions
  • Obtained Google Cloud Professional certifications in area such as MLE, data engineer, DevOps engineer
  • Experience working with customer analytics and geospatial data, domain knowledge in global agri-business and food industry is a plus

 

#LI-MŚ1

At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200+ years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.

 

Every day our people exemplify these values, which represent Bunge at its core:


•    We Are One Team – Collaborative, Respectful, Inclusive
•    We Lead The Way – Agile, Empowered, Innovative
•    We Do What’s Right – Safety, Sustainability, With Integrity

 

If this sounds like you, join us!  We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge

 

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Warszawa, Masovian, PL, 02-146

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