Machine Learning Data Analyst
at 24 Seven Talent
in
New York,
New York
Posted in Other about 5 hours ago.
Type: full-time
Job Description:
Location: NYC - hybrid
Duration: 6 month contract
Pay: $49/hr
Data Validation and Quality Assurance
- Review and validate computer vision system outputs against actual shelf images to ensure accurate inventory detection
- Document and categorize system errors or misidentifications in a structured format
- Create detailed reports on system accuracy, common failure modes, and suggested improvements
- Collaborate with the engineering team to provide insights for model refinement
- Maintain detailed documentation of validation processes and findings
Dashboard Monitoring & Analysis
- Continuously monitor dashboards to ensure the vision system is operating within defined thresholds and parameters.
- Alert the development team to any issues or anomalies detected during monitoring.
- Analyze performance metrics to identify trends and areas for improvements
- Analyze data from the computer vision system to identify patterns, trends, and potential issues.
- Use data insights to inform improvements to the system and enhance overall performance.
Data Labeling & Training Set Creation
- Create high-quality labeled datasets for training and fine-tuning machine learning models
- Annotate grocery shelf images with precise product locations, boundaries, and classifications
- Follow detailed annotation guidelines to maintain consistency across datasets
- Identify and label edge cases that can improve model robustness
- Participate in calibration exercises to ensure labeling quality and consistency
- Help develop and refine labeling guidelines based on common scenarios and edge cases
Required Qualifications
- Strong data analysis skills to interpret test results, identify trends, and validate the effectiveness of the computer vision system
- Proficient in data analysis, visualization, and reporting tools (e.g., Tableau, Power BI, Qlikview etc.)
- Ability to interpret performance metrics, identify trends, and draw actionable insights
- Proficiency in common office productivity tools (e.g., Google Suite, Microsoft Office)
- Strong skills in Microsoft Office, particularly Excel and Word, for data analysis, visualization, and documentation
- Excellent written and verbal communication skills
- Proficiency in standard office software and data entry tools
Preferred Qualifications
- Experience with computer vision systems or machine learning models
- Experience with task automation, scripting, and workflow management
- Experience working with image annotation and data labeling tools (e.g., LabelImg, RectLabel, Roboflow)
- Comfortable working with version control systems (e.g., Git)
- Familiarity with retail or grocery operations and knowledge of inventory management systems
What Success Looks Like
- Maintain a 95%+ accuracy rate in validation tasks
- Provide actionable feedback that leads to measurable system improvements
- Consistently meet daily/weekly validation quotas
- Identify and document new edge cases that can improve model training