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Data Scientist

Bunge - Warszawa

Posted Jun 12, 2026

Benefits

Parental leave
6 weeks From the posting source checked Jun 20, 2026
Non-birth-parent leave
6 weeks From the posting source checked Jun 20, 2026
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Source-linked checked May 7, 2026
Salary
Not verified

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist Warszawa 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 rel

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