Job Details

Data Scientist

  2025-06-28     Iceberg     all cities,WA  
Description:

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This range is provided by Iceberg. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$165,000.00/yr - $185,000.00/yr

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Clearance: Must be able to obtain a Public Trust Clearance

Are you passionate about building AI systems that drive real-world impact? After meeting with a good friend at Legalweek we discussed an exciting role that would be coming out, this role is now live with me and my team. My client needs a Data Scientist, to design, train, and deploy cutting-edge machine learning and language models that power critical use cases in eDiscovery, Data Governance, Cyber Incident Response, and Legal Automation.

What You'll Do

  • Develop and deploy AI/ML models and data pipelines that enable automation of complex legal and data workflows.
  • Architect and orchestrate LLM-powered Agents to support tasks like document review, privilege detection, and legal data classification.
  • Collaborate with developers, PMs, and legal SMEs to turn complex use cases into scalable AI-driven solutions.
  • Leverage GenAI tools to automate sensitive data redaction, intelligence extraction, and task-specific decision-making.
  • Own the end-to-end data science lifecycle—from data wrangling to production model deployment and impact measurement.
  • Stay on the cutting edge of AI advancements through ongoing research and experimentation.

You Should Have

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field (Master's preferred).
  • Strong experience with machine learning, NLP, LLMs, and data modeling techniques.
  • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Solid foundation in statistics, optimization, and algorithm design.
  • Experience building and deploying production-ready ML models and pipelines.
  • Excellent communication and collaboration skills.
  • Ability to obtain a Public Trust Clearance.

Bonus Points For

  • Experience in eDiscovery, legal tech, automation, or cyber/data governance.
  • Work in legal environments (law firms, LSPs, or government legal projects).
  • Familiarity with workflow orchestration platforms or SDK development.
  • Exposure to federal compliance and government contract work.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Analyst
  • Industries

    Data Infrastructure and Analytics, Legal Services, and Government Relations Services

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