Job Description
Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale.
As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development.
More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains.
We’re looking for a Data Scientist to join our growing AI Ops team.
As a Data Scientist in our AI Operations, you will expand Sonatype’s ability to answer high-impact GTM and operational questions with speed, rigor, and trust. The AI Ops team helps the business move faster and make better decisions by turning data into trusted insights.
This is a mid-level Data Scientist role for someone who enjoys ambiguity, execution, and impact. You will help scale our analytical capacity, answering real business questions that influence how Sonatype operates and grows. You will also partner closely with RevOps and senior business stakeholders to turn ambiguous questions into validated insights, experiments, and models that directly influence decisions.
What you’ll do:
- Explore and analyze GTM and operational data to answer high-impact questions.
- Design experiments and define success metrics that leaders can trust.
- Build and evaluate functional models that support decision-making.
- Partner with RevOps and AI Ops to scope problems and define metrics, success criteria, and deliver practical solutions.
- Ship clear, well-documented analytical artifacts others can integrate and build on.
What you bring:
- 3+ years of experience in applied data science, machine learning, analytics or AI research
- Strong Python and SQL skills.
- Comfort with common DS/ML tooling (e.g., pandas, scikit-learn)
- Experience pulling/transforming data from real production systems, and turning large, messy data into insights and features.
- Exposure to model evaluation practices (baseline building, offline metrics, error analysis, experiment design)
- Ability to communicate insights clearly to non-technical stakeholders.
- Comfort explaining trade-offs, metrics, and findings to diverse audiences.
- Ability to work independently in an async, fast, and delivery-focused environment
It’d be great if you also had:
- Experience using platforms like Databricks, MLflow, or model serving/monitoring tools (at any scale)
- Familiarity with version control (Git) and collaborative workflows.
- Experience with LLMs/embeddings/RAG and how to evaluate them beyond “vibes”
- Any exposure to Sales, GTM, customer success tooling.
- Comfort building lightweight internal tools (small APIs, pipelines, automations) that help others move faster.
What we’re proud of:
- 2025 Best DevSecOps Solution by DevOps Dozen
- Visionary in the 2025 Gartner® Magic Quadrant™ for Application Security Testing
- 2025 DEVIES Award to our SBOM Manager new product for its innovation and impact in developer technology
- 2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report)
- 2023 Fast Company Best Places for Innovators
- 2023 Gartner’s Magic Quadrant
- 2023 Software Report’s Top 100 Software Companies
- 2023 BuiltIn Best Places to Work
- 2022 Frost & Sullivan Technology Innovation Leader Award
- 2022 PeerSpot Silver Peer Award in Software Composition Analysis
- 2022 Tech Ascension Best DevOps Security Solution Award
- 2022 NVCT Cyber Company of the Year
- Company Wellness days - We shut down company operations during some days of the year (5 in total) to enable all employees to pursue personal growth and enjoy much-needed and deserved additional rest.
- Paid Volunteer Time Off (VTO)
At 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.
