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Urgent! Senior Data Scientist Job Opening In WorkFromHome – Now Hiring Silent Eight

Senior Data Scientist



Job description

Join to apply for the Senior Data Scientist role at Silent Eight .

At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption.

We’re a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC.

Join us and help make the world a safer place!

Responsibilities

  • 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.

Requirements

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

  • 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.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • Software Development

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Required Skill Profession

Database, Analytics & Bi



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