Data Scientist

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Sonatype

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

💰 $80M Private Equity Round on 2018-09

Cybersecurity • Software • SaaS

Sonatype is a leader in software composition analysis (SCA) and software supply chain management. The company provides solutions to automate software supply chain security, build centralized components, control open source risks, and simplify software bill of materials (SBOM) compliance. Sonatype offers tools such as Nexus Repository, Repository Firewall, Lifecycle, and SBOM Manager, which help developers deliver quality code securely and manage vulnerability risks. Sonatype integrates with numerous tools and languages, supporting dev, security, and ops teams to ensure secure deployments. The company is recognized for its end-to-end software supply chain solutions that leverage artificial intelligence to predict and intercept malicious components, enhancing security across industries such as financial services and technology.

📋 Description

• Lead applied AI projects from concept to impact, including prototyping, validation, and deployment of practical ML and GenAI solutions • Act as an internal AI consultant across product, engineering, security, and research teams • Lead research, development, and deployment of models for malicious behavior detection, anomaly detection, and fraud analysis • Design experiments and evaluation pipelines for model reliability, accuracy, and business impact • Bridge research and production by translating insights into scalable APIs, tools, or workflows • Explore LLMs, embeddings, retrieval-augmented generation, and agentic workflows • Communicate technical concepts, tradeoffs, and recommendations through presentations, documentation, and collaboration • Mentor peers and elevate organizational AI literacy and capabilities • Partner with data governance to ensure data-privacy and ethical compliance

🎯 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 • Practical experience with Databricks, LLM APIs, and scikit-learn • Experience building and shipping ML or GenAI applications from prototype through usable workflows • Deep familiarity with 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 with agentic or multi-step AI workflows using LangGraph, LangChain, Semantic Kernel, or similar frameworks • Experience defining quality metrics, evaluation datasets, reliability assessments, and data-driven tradeoffs • Comfort working with large, messy, structured, and unstructured data • Proficiency with Git, testing, code review, and collaborative software-development practices • Strong written and verbal communication skills • Preferred: strong MLOps experience, MLflow or comparable tooling, CI/CD, serving, production monitoring, observability, tracing, incident response, drift detection, managed ML platforms, MCP, LLM guardrails, AI-assisted development tools, cybersecurity or fraud detection, PySpark, production data pipelines, and SaaS experience

🏖️ Benefits

• Parental leave • Diversity and inclusion working groups • Flexible working practices • Paid Volunteer Time Off (VTO) • Equal-opportunity employer • Disability and special-needs accommodation