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Making crime bad business
Data Scientist
Location
United Arab Emirates
Posted
123 days ago
Salary
0
Seniority
Senior
Job Description
Data Scientist
Silent Eight
• Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off • Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions • Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production • Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments • Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance • Analyze large-scale structured and unstructured datasets to extract insights and power model development • Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection • Create and maintain internal data science tooling to streamline experimentation, testing, and delivery • Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment • Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability
Job Requirements
- Based in the United Arab Emirates (remote-first team; flexible working environment)
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field
- 3-5 years of demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications
- Deep proficiency in Python: you write clean, modular, maintainable, and testable code suitable for real-world deployments
- Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery)
- Skilled in graph analysis, machine learning, and unstructured data workflows
- Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability
- Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant
- Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker)
- Strong communication skills—translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization
- Mindset of ownership: you’re excited to see projects through, from first prototype to deployed, customer-facing solution
Benefits
- Full time employment
- Employee benefits
- Work-life balance: flexible working hours, remote work forever
- Career growth: Promotion and great development opportunities within the organization
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