[Hiring] Senior Data Scientist @SilentEight

Role Description

As a Senior Data Scientist, you will play a dual role: technical leader and strategic partner to customers and internal teams.

• Lead complex R&D initiatives: drive research and innovation in LLMs, NLP, machine learning, and graph analytics, turning advanced techniques into production-grade solutions.
• Own the full data science lifecycle: from discovery, framing, and exploration to deployment, customer delivery, and long-term monitoring.
• Shape ambiguous challenges into well-defined problem statements and design practical, state-of-the-art solutions aligned with business and regulatory needs.
• Engage directly with customers and stakeholders: collaborate to co-design use cases, set success metrics, and ensure solutions are adopted, measurable, and impactful.
• Mentor and guide peers: elevate technical excellence, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment.
• Prototype rapidly: explore new ideas and validate hypotheses quickly, while balancing innovation with scalability and maintainability.
• Ensure production success: design, implement, and optimize pipelines for data integration, validation, monitoring, and retraining to sustain long-term model performance.
• Communicate effectively: distill technical complexity into compelling business insights, helping stakeholders make informed decisions.
• Champion excellence in execution: enforce best practices in MLOps, DataOps, and software engineering to deliver reproducible, maintainable, and scalable solutions.
• Continuously improve tooling and processes that accelerate delivery, experimentation, and collaboration across the data science function.

Qualifications

• Bachelor’s degree, Master or PhD in Data Science, Computer Science, Statistics, or related field.
• 6+ years of hands-on experience delivering data science projects from research to production, ideally in mission-critical domains.
• Proven expertise with LLMs and modern NLP frameworks (LangChain, LlamaIndex, OpenAI APIs, HuggingFace, etc.).
• Strong foundation in machine learning, graph analytics, anomaly detection, and unstructured data workflows.
• Advanced proficiency in Python and SQL with a track record of writing clean, modular, testable, and production-ready code.
• Experience with large-scale data platforms (e.g., PySpark, BigQuery) and scalable ML deployments.
• Solid knowledge of MLOps and DataOps, including CI/CD, monitoring, retraining, and reproducibility.
• Comfortable in Linux, Git, Docker, and modern collaboration workflows.
• Exceptional communication and stakeholder management skills: able to translate technical insights into business outcomes and influence at all levels.
• Proven ability to drive measurable impact: balancing state-of-the-art research with practical, customer-driven implementation.
• A mindset of ownership, flexibility, and resilience: you adapt quickly, handle ambiguity, and are committed to delivering results.

Requirements

• Based in Singapore (remote-first team; flexible working environment).