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forecasting data engineering machine learning mlops model deployment📋 Description
- Lead and develop a Data Science & ML team (~7 members).
- Set technical direction for applied ML and experimentation.
- Ensure models are production-ready, scalable, cost-conscious.
- Partner with Product and Engineering for roadmap alignment.
- Ensure reliability and performance of live models at scale.
🎯 Requirements
- 7+ years in data science; 2-4+ years leading teams.
- Bachelor's degree; Masters/PhD strongly preferred.
- Proven ability to lead performance conversations.
- Ability to trade off priorities with realistic timelines.
- Clear communication to technical and non-technical audiences.
- Hands-on ML across multiple methods; applied judgment.
🎁 Benefits
- Course Reimbursement Program to support learning.
- Pelmorex Learning Academy for ongoing training.
- Mental health support with Maple Online.
- 17 Paid Days Off plus 13 Personal Days.
- Flexible work environment and hybrid setup.
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