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Data Science Manager

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 Science Manager Warszawa Requisition Number: 44367 Overview: We are seeking a highly motivated and experienced Data Science Manager, with strong expertise in commercial analytics and to join our growing team. As Data Science Manager, 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. Main Accountabilities Responsible for leading and creating an impactful portfolio of data science and data engineering projects in the space of commercial analytics Drive the design, development and documentation of reusable analytical solutions utilizing data science best practice Lead a team of Data Scientists and Data Engineers to build and deliver analytical solutions in a sustainable manner Be the point of contact for various stakeholders to understand business problems, propose solutions that are scalable and value-driven. Advice Business on how to structure the problems/hypotheses they want to address and convert it into a advanced analytics approach including machine learning and optimization components. Communicates the design, insights and value of the analytical solutions to a variety of audience, including key business leaders and technical communities Ensure timely deliverables and testing for regular maintenance of solutions over time Lead team with a culture

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