Director of Data Science leading technical data science initiatives for advertising products at Mastercard. Overseeing ML strategy, model deployment, and team collaboration in the Commerce Media platform.
About the role
- Data Scientist building machine learning features for a B2B SaaS AI platform. Involved in model training, pipelines, and delivering insights in Dubai's hybrid environment.
Responsibilities
- Build and maintain AI-driven features for business use cases
- Contribute to app features with guidance from mid/senior teammates; improve models, pipelines, and deliverables
- Present results and findings to your team; identify gaps and learn to explain the product and the AI behind it
- Deliver assigned tasks autonomously and on time with clear ownership
- Own features of the app; constantly improve models, pipelines and monitoring to ensure robust production performance
Requirements
- 3+ years Build and maintain AI-driven features (forecasting, classification, regression, recommender systems, LLM-powered features) for business use cases
- Strong Python/SQL skills, basic MLOps knowledge (Airflow, MLflow, unit testing), and solid ML fundamentals
- Communicate and align with internal stakeholders; identify opportunities and explain AI behind business outcomes
- Design end-to-end ML pipelines for small projects; mentor junior team members on technical topics
Benefits
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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