ML / Data Analyst
Tasks
- Collaborate with internal teams on reporting processes
- Contribute to operational process improvements
- Follow global processes and best practices
- Handle daily high volume operational tasks
- Implement data enhancements and fixes using SQL
- Investigate and resolve data quality problems
- Investigate data classification and branding issues
- Maintain confidentiality of client and internal data
- Monitor and analyze model performance
- Monitor data quality issues
- Participate in company training sessions
- Provide proactive status updates to managers
- Report system issues impacting workflow
- Resolve operational issues through to completion
- Retrain machine learning models
- Run weekly quality check processes
Perks/Benefits
- Additional medical insurance
- Employee Assistance Program (EAP)
- Flexible working hours
- Food vouchers
- Free access to LinkedIn Learning platform
- Home office
- Hybrid work model
- Life insurance
- LinkedIn Learning
- Multisport card
- Volunteer time off
Skills/Tech-stack
Data Classification | Data Pipelines | Data Quality | Machine Learning | Regular Expressions | SQL
Education
Roles
Analyst | Data Analyst | Engineer | Learning Engineer | Machine Learning Engineer
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