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Posted 6 months ago
Requirements and responsibilities
The OpportunityWe’re looking for a Senior 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. You’ll explore complex datasets, design experiments, build models, and collaborate closely with product engineering, and security experts to turn research ideas into practical, scalable solutions. This role is ideal for someone who thrives on autonomy, loves translating ambiguous ideas into working systems, and enjoys working across boundaries rather than in a single product lane.What You’ll DoLead applied AI projects from concept to impact — prototype, validate, and help teams deploy practical ML and GenAI solutions.Collaborate cross-functionally: Partner with product, engineering, and research teams to scope problems, identify opportunities, and co-develop solutions.Act as an internal consultant: Advise teams on ML/AI best practices, model evaluation, and productive use of generative technologies.Design robust experiments and establish evaluation pipelines for model reliability, accuracy, and business impact.Bridge research and production: Package research insights into usable APIs, tools, or workflows for other teams.Explore new techniques (e.g., LLMs, embeddings models, retrieval-augmented generation, agentic workflows) to enhance developer and security experiences.Share knowledge and mentor peers, helping elevate the organization’s AI literacy and capabilities.What We’re Looking For6+ years of experience in applied data science, machine learning, or AI researchStrong Python skills and hands-on experience with ML/AI libraries and platforms such as Databricks, OpenAI API, and Scikit-learnComfortable working with large, messy, or unstructured datasets — you know how to turn chaos into features, insights, and beautiful visualizationsDeep familiarity with LLMs and GenAI ecosystems (e.g. OpenAI, Claude, Hugging Face): skilled in prompt engineering, parameter tuning, and evaluating model behavior against ground truthExperience taking ML or GenAI systems from prototype to production, even if small-scale or incrementalStrong analytical thinking, experimentation skills, and appreciation for trustworthy, data-driven evaluationProficiency with Git and collaborative code workflows (GitHub or similar)A balanced mindset — equally comfortable exploring research ideas and implementing production-ready systemsProactive and self-directed: you don’t wait for perfect specs; you find meaningful problems and drive them to completionBonus PointsExperience with AI-assisted coding tools (Copilot, Claude Code, Codex, etc.)Familiarity with agentic workflows, Model Context Protocol (MCP), and tool-use integrationsExposure to cybersecurity, anomaly detection, or code analysisUnderstanding of MLOps practices (MLflow, AWS SageMaker, model serving, or monitoring)ClosingAt Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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