Kierujący / Kierująca Wydziałem Data Science i Sztucznej Inteligencji
PLN 60K-90K (estimate) Mid-level Full Time
Tasks
- Automate and scale ML delivery processes
- Build data driven client value roadmap
- Build partnerships with academic and external organizations
- Collaborate with IT and business units
- Define MLOps standards and manage analytical environments
- Define data science and AI strategy
- Develop customer segmentation and propensity models
- Initiate AI technology adoption
- Lead machine learning and AI competency development
- Manage analytics initiatives end to end
- Manage predictive and analytical models portfolio
- Measure CLV and prioritize business actions
- Monitor ML and AI market trends
- Operate recommendation systems
- Organize ML and AI training workshops
- Run A B tests and business experiments
Perks/Benefits
- Benefit platform access
- Hybrid work
- Life insurance
- Paid training and development
- Private medical care
- Psychological support
- Sport card and cultural vouchers
- Wellbeing support
Skills/Tech-stack
A/B | A/B Testing | Algorithm Design | Audio Processing | B testing | CLV modeling | Computer Vision | Customer Segmentation | Data Analysis | Deep learning | Experiment design | Generative AI | Image Processing | MLOps | Machine Learning | Model Optimization | NLP | Predictive Modeling | Prompt engineering | Propensity Modeling | Recommendation Systems | Speech Processing
Education
N/A
Roles
AI | AI Manager | Data Science | Data Science Manager | Head | Head of Data | Head of Data Science | Manager
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