Execute daily modeling work: data processing, model adjustment, result validation, deliver robust
Identify and solve quality and data issues during project lifecycles.
Manage technical and statistical parts of analytical products.
Participate in customized projects and develop innovative solutions for industry applications.
Support commercial teams in initial project design and technical Q&A during client

🎯 Requirements

Being familiar with Python is necessary.
Solid statistics knowledge; ability to design new methods.
Strong knowledge of ML algorithms (e.g., decision trees, random forests, SVM, XGBoost).
Good analytical and problem-solving skills.
Effective communication and project management abilities.
Knowledge of R, VBA, SQL, visualization tools (Power BI) is a plus.

🎁 Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot