Senior Data Scientist

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take technical ownership of applied AI and data science projects throughout Sonatype.

• Oversee intricate AI initiatives from initial concept to full production.

• Provide guidance to product, engineering, security, and research teams regarding ML and GenAI methodologies.

• Spearhead research, development, and implementation of models focused on detecting malicious behavior, identifying anomalies, analyzing fraud, and other security and product applications.

• Architect and direct GenAI solutions utilizing LLMs, embeddings, retrieval-augmented generation, structured outputs, tool utilization, and agentic workflows.

• Establish practices for experimentation and evaluation, encompassing datasets, quality metrics, cross-validation, ground-truth assessments, drift monitoring, and measuring business impact.

• Define the technical strategy for building reliable, secure, scalable, maintainable, and ethically responsible AI systems.

• Design scalable APIs, services, tools, and workflows to facilitate AI adoption.

• Assess emerging AI technologies and frameworks, recommending strategies for their implementation.

• Collaborate with engineering and MLOps teams on deployment, observability, model lifecycle management, performance, and reliability.

• Mentor data scientists and technical contributors.

• Articulate AI strategies, technical trade-offs, findings, and recommendations to both technical and non-technical stakeholders.

• Collaborate with data governance, security, and legal teams on privacy, security, ethical, and responsible AI practices.

⛳️ Requirements

• Over 7 years of practical experience in applied data science, machine learning, AI engineering, or AI research.

• A degree in Computer Science or a related technical field is highly preferred.

• Strong proficiency in Python.

• Hands-on experience with Databricks, LLM APIs, and scikit-learn.

• Proven experience in developing and deploying ML or GenAI applications from prototype to practical workflows.

• Extensive familiarity with OpenAI, Anthropic/Claude, Hugging Face, and open-weight models.

• Capability to design LLM applications utilizing prompting, context management, structured outputs, retrieval, and tool usage.

• Experience with orchestration frameworks such as LangGraph, LangChain, Semantic Kernel, or similar.

• Background in defining quality metrics and evaluation datasets.

• Experience in handling large, complex, structured, and unstructured data.

• Proficient with Git, testing, code review, and collaborative software development practices.

• Excellent written and verbal communication skills.

• Significant MLOps experience, including MLflow or similar tools, experiment tracking, reproducible pipelines, model/application versioning, CI/CD, serving, and production monitoring is advantageous.

• Experience with Databricks ML, AWS SageMaker, Azure ML, or similar managed ML platforms is a plus.

• Experience applying ML or AI in areas such as cybersecurity, fraud detection, anomaly detection, code analysis, threat intelligence, or software supply-chain security is preferred.

🏝️ Benefits

• Parental Leave Policy.

• Paid Volunteer Time Off (VTO).

• Diversity & Inclusion Working Groups.

• Flexible working practices.

• Equal-opportunity employer.

• Disability or special-needs accommodation.