Silent Eight

Senior Data Scientist

Silent Eight

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇸🇬 Singapore

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Job Level

Senior

Tech Stack

BigQueryDockerLinuxPySparkPythonSQL

About the role

  • 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

  • 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.
Benefits
  • Remote work flexibility
  • Paid Development Days
  • In-house training
  • Team building events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data sciencemachine learningnatural language processinggraph analyticsanomaly detectionPythonSQLMLOpsDataOpslarge-scale data platforms
Soft skills
communicationstakeholder managementmentoringproblem-solvingcollaborationflexibilityresilienceinnovationknowledge-sharingexecution excellence
Certifications
Bachelor's degreeMaster's degreePhD in Data SciencePhD in Computer SciencePhD in Statistics