Data Scientist
Atlanta, GA - RemoteAll locationsAtlanta, GA - RemoteUS - Remote Remote
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About the role
We're looking for a Data Scientist to join our growing AI & Data Science team. You'll operate as an internal AI consultant and technical lead, helping multiple teams across Sonatype apply machine learning and generative AI to real-world problems — from malicious-behavior and anomaly detection in our security data, to developer- and analyst-facing GenAI experiences. You'll explore complex datasets, design experiments, build and validate models, and collaborate closely with product, engineering, and security experts to turn research ideas into practical, scalable solutions. We have a mature data engineering team, so you can focus on doing what you do best — building and shipping models. This role is ideal for someone who thrives on autonomy, loves translating ambiguous ideas into working systems, and enjoys working across boundaries rather than staying in a single product lane.
What you'll bring
- 5+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI research.
- Strong Python skills and practical experience with data and AI libraries/platforms such as Databricks, and LLM APIs, scikit-learn
- Experience building and shipping ML or GenAI applications—from early prototype through usable internal or customer-facing workflows.
- Deep familiarity with modern LLM ecosystems, including OpenAI, Anthropic/Claude, Hugging Face, and open-weight models.
- Ability to select models and design effective 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 orchestration frameworks.
- Strong evaluation mindset: defining useful quality metrics, building representative evaluation datasets, assessing reliability, and making data-driven tradeoffs.
- Comfortable working with large, messy, structured, and unstructured data to produce features, insights, and clear visualizations.
- Proficiency with Git, testing, code review, and collaborative software-development practices.
- Practical, balanced judgment: comfortable exploring emerging AI capabilities while building maintainable, secure, dependable systems.
- Proactive and accountable, with strong written and verbal communication skills across technical and non-technical partners.
- Computer Science or equivalent technical degree strongly preferred