Data Science Manager - Commercial Analytics Lead

Bunge; Warszawa; On-site; PLN 230,000 - 460,000; Full time

Job summary

Bunge in Warsaw seeks a Data Science Manager to lead a team of data scientists, engineers and ML engineers in developing data-driven commercial analytics solutions and prioritizing analytics initiatives.

You will work with cross-functional partners to translate business problems into advanced analytics approaches, mentoring the team to deliver reusable, scalable models from PoC to production using cloud platforms.

Qualifications

• PhD or MS in STEM with substantial data science or IT experience.
• Strong math, analytics, CS foundations and ML knowledge.
• 6–10 years hands-on experience in Python/SQL; scripting with bash.
• Experience leading technical teams to develop analytical products.
• Experience in productionizing projects and building reusable code.
• Experience with at least one major cloud platform (GCP/AWS/Azure), preferably GCP services.

Responsibilities

• Lead a team of data scientists, engineers, and ML engineers on commercial analytics projects.
• Drive design and documentation of reusable analytical solutions leveraging data science best practice.
• Mentor and coach the team to elevate technical skills and business impact.
• Partner with stakeholders to translate business problems into analytics approaches and ML/optimization components.
• Communicate insights and value to business leaders and technical teams; ensure timely deliverables and maintenance.
• Oversee PoC to production transitions and implement scalable models in a cloud environment.
• Foster a culture of learning, collaboration, and high-quality code with automation pipelines.

Skills

Python

SQL

Leadership

Team management

Communication

Problem solving

Cloud (GCP/AWS/Azure)

Education

MS in STEM

PhD in STEM

Tools

Docker

Kubernetes

Terraform

CI/CD

BigQuery

Compute Engine / Cloud Run

Cloud Composer

Job description

Bunge in Warsaw seeks a Data Science Manager to lead a team of data scientists, engineers and ML engineers in developing data-driven commercial analytics solutions and prioritizing analytics initiatives.

You will work with cross-functional partners to translate business problems into advanced analytics approaches, mentoring the team to deliver reusable, scalable models from PoC to production using cloud platforms.