Data Scientist
Sonatype · Software Supply Chain Management
- Work arrangement: remote in country
- Employment type: Full Time
- Seniority: senior
- Posted:
Job description
Position:
Data Scientist
Company:
Sonatype
Location:
USA, Remote
Employment type:
Full-Time
Work Arrangement:
Remote
Short Summary:
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.
Responsibilities:
- Lead applied AI projects from concept to impact — prototype, validate, and help teams deploy practical ML and GenAI solutions.
- Act as an internal consultant across product, engineering, security, and research teams: scope problems, evaluate approaches, and advise on ML/AI best practices.
- Lead the research, development, and deployment of models for use cases such as malicious behavior detection and fraud analysis.
- Design robust experiments and establish evaluation pipelines for model reliability and business impact.
- Bridge research and production: translate research insights into scalable APIs, tools, or workflows.
- Explore new techniques to enhance developer and security experiences.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
- Partner with our data governance team to ensure compliance with data-privacy regulations.
Requirement:
- 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.
- Experience building and shipping ML or GenAI applications.
- Deep familiarity with modern LLM ecosystems.
- Strong evaluation mindset and comfortable working with large, messy data.
- Proficiency with Git, testing, and collaborative software-development practices.
- Strong written and verbal communication skills.
Benefits:
- Parental Leave Policy
- Paid Volunteer Time Off (VTO)
- Diversity and inclusion working groups
- Flexible working practices
Data Scientist
Company:
Sonatype
Location:
USA, Remote
Employment type:
Full-Time
Work Arrangement:
Remote
Short Summary:
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.
Responsibilities:
- Lead applied AI projects from concept to impact — prototype, validate, and help teams deploy practical ML and GenAI solutions.
- Act as an internal consultant across product, engineering, security, and research teams: scope problems, evaluate approaches, and advise on ML/AI best practices.
- Lead the research, development, and deployment of models for use cases such as malicious behavior detection and fraud analysis.
- Design robust experiments and establish evaluation pipelines for model reliability and business impact.
- Bridge research and production: translate research insights into scalable APIs, tools, or workflows.
- Explore new techniques to enhance developer and security experiences.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
- Partner with our data governance team to ensure compliance with data-privacy regulations.
Requirement:
- 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.
- Experience building and shipping ML or GenAI applications.
- Deep familiarity with modern LLM ecosystems.
- Strong evaluation mindset and comfortable working with large, messy data.
- Proficiency with Git, testing, and collaborative software-development practices.
- Strong written and verbal communication skills.
Benefits:
- Parental Leave Policy
- Paid Volunteer Time Off (VTO)
- Diversity and inclusion working groups
- Flexible working practices
Skills
- databricks
- langchain
- mlflow
- python
- scikit_learn
Languages
EN
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