Data Operations Analyst
Role Overview
The Data Operations Analyst supports proprietary AI model development by helping deliver high-quality training and testing datasets through the Deploy Data platform.
The role manages multiple projects and contributes to the product development lifecycle in a collaborative team.
Key Skills for This Role
Full Job Posting
About Deploy
Deploy provides an intelligence infrastructure platform for access to open-source and proprietary AI models.
Its products include model inference and proprietary models for content safety, AI and deepfake detection, sponsorship intelligence, and IP and publicity protection.
The company reports more than 250 employees across San Francisco, Seattle, New York, and Delhi.
Role overview
The Data Operations Analyst supports proprietary AI model development by helping deliver high-quality training and testing datasets through the Deploy Data platform.
The role manages multiple projects and contributes to the product development lifecycle in a collaborative team.
Responsibilities
- Create, configure, and audit Deploy Data projects supporting internal Product and ML initiatives and proprietary models.
- Execute projects and identify ways data solutions can improve model performance, product capabilities, and internal objectives.
- Manage timelines, resolve issues, and keep stakeholders informed.
- Collaborate with Product and ML teams to establish project scope, technical requirements, and success criteria.
- Work with engineers to configure pipelines and audit projects efficiently.
- Keep current with relevant data maintenance best practices.
- Follow information-protection policies and report suspected security or policy violations.
Requirements
- Bachelor’s degree.
- 0–2 years of work experience.
- Highly organized and detail-oriented; able to manage multiple priorities.
- Excellent written and verbal communication skills and an analytical mindset.
- Demonstrated success in a competitive environment.
- Self-motivated, ambitious, and driven to contribute.
- Able to work collaboratively and execute independently.
Compensation
- Expected base salary is $60,000–$85,000 per year.
- Actual compensation may vary based on qualifications, skills, competencies, experience, and location; stock options may also be offered.
Hiring process
- AI tools may assist with application review and assessment; final hiring decisions are made by people.
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