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Data Scientist

3 days, 15 hours ago
United States
Full-time
Senior
Data Scientist
Data Science and Analytics
Apache Spark CI/CD Cybersecurity Databricks Git Hugging Face LLM MLflow MLOps Python SageMaker Scikit-learn
Apply Now
Sonatype

Sonatype

Sonatype provides secure software development solutions by leveraging open source and artificial intelligence, ensuring that organizations can build applications quickly and safely through automated governance, policy enforcement, and comprehensive mon...

Internet Software & Services
51-250
Founded 2008
$155M raised
View All Jobs 17

Description

  • Lead applied AI projects from concept through prototype, validation, and deployment.
  • Act as an internal AI consultant across product, engineering, security, and research teams.
  • Research, develop, and deploy models for malicious behavior detection, anomaly detection, and fraud analysis.
  • Design experiments and evaluation pipelines to measure model reliability, accuracy, and business impact.
  • Translate research insights into scalable APIs, tools, and workflows for other teams.
  • Explore and apply modern AI techniques such as LLMs, embeddings, RAG, and agentic workflows.
  • Communicate technical recommendations to technical and non-technical stakeholders through presentations and documentation.
  • Mentor peers and help improve the organization’s AI literacy and capabilities.
  • Partner with data governance to support privacy compliance and ethical use of customer data.

Requirements

  • 5+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI research.
  • Computer Science or equivalent technical degree strongly preferred.
  • Strong Python skills and experience with data and AI libraries/platforms such as Databricks, LLM APIs, and scikit-learn.
  • Experience building and shipping ML or GenAI applications from prototype to usable workflows.
  • Deep familiarity with LLM ecosystems including OpenAI, Anthropic/Claude, Hugging Face, and open-weight models.
  • Ability to design LLM applications using prompting, context management, structured outputs, retrieval, and tool use.
  • Experience building agentic or multi-step AI workflows with LangGraph, LangChain, Semantic Kernel, or similar frameworks.
  • Strong evaluation mindset with experience defining metrics, building evaluation datasets, and assessing reliability.
  • Comfort working with large, messy, structured, and unstructured data to produce features, insights, and visualizations.
  • Proficiency with Git, testing, code review, and collaborative software development practices.
  • Experience with MLOps tooling such as MLflow, experiment tracking, versioning, CI/CD, serving, and monitoring (preferred).
  • Experience operating ML or GenAI systems at scale, including observability, tracing, incident response, and drift detection (preferred).
  • Experience with Databricks ML, AWS SageMaker, Azure ML, or similar managed ML platforms (preferred).
  • Familiarity with MCP, agent-tool integrations, LLM guardrails, and production safety practices (preferred).
  • Exposure to cybersecurity, fraud detection, anomaly detection, code analysis, or software supply-chain security (preferred).
  • Experience with PySpark and production data pipelines (preferred).
  • Experience working in a software product company or SaaS environment (preferred).

Benefits

  • Parental leave.
  • Paid Volunteer Time Off (VTO).
  • Diversity and inclusion working groups.
  • Flexible working practices.
  • Equal-opportunity workplace with accommodation support for disabilities or special needs.

Interested in this position?

Apply directly on the company website

Apply Now

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