Own recurring Risk, Legal & Governance reporting end to end, turning validated data into clear reports, dashboards and insights for senior leaders, committees and Boards while improving reporting quality and efficiency.
Data Acquisition Analyst ( Japanese, French) - R01572719
📜 Description
- Label collected data to train AI models for scam and deepfake detection.
- Clean, validate, and transform data using analytical tools and programming languages.
- Extract and integrate data from databases, APIs, web scraping, and other sources.
- Share findings and recommendations with stakeholders through clear communication and visuals.
- Collaborate with data scientists and engineers on data modeling, machine learning, and experimentation.
- Stay current with developments in data science and related fields.
🛠️ Requirements
- Apply labels to collected data for the purpose of training AI models for in field scam/deepfake detections
- Perform data cleaning, validation, and transformation with analytical tools and programming languages (Python, Node).
- Extract and integrate data from various sources, such as databases, APIs, web scraping, etc.
- Communicate findings and recommendations to stakeholders using clear and concise language and visuals.
- Collaborate with data scientists and engineers to support data modeling, machine learning, and experimentation.
- Keep up to date with the latest trends and developments in data science and related fields.
- An interest in data science and willing to learn and apply new skills and tools.
- Skills in organizing data and attention to detail.
- Ability to work independently and as part of a team.
- Excellent communication and presentation skills.
Full job description
Primary Skills
Specialization
Job requirements
LOCATION - 2 DAYS IN FRISCO, REST REMOTE FOR THE WEEK.
Language Skills; Japanese, French - Top 2 priorities, German, Spanish (less important).
Summary
At Brillio, we are looking for the next members of our AI teams. As our AI Training Data Acquisition Analyst, you'll help us collect, process, and analyze data from various sources and work with a team of experienced Data Scientists and Engineers to support data-driven decision-making and product development.
Join our team and help us accelerate the bridging of advanced AI technologies and customer expectations.
About The Role:
• Apply labels to collected data for the purpose of training AI models for in field scam/deepfake detections
• Perform data cleaning, validation, and transformation with analytical tools and programming languages (Python, Node).
• Extract and integrate data from various sources, such as databases, APIs, web scraping, etc.
• Communicate findings and recommendations to stakeholders using clear and concise language and visuals.
• Collaborate with data scientists and engineers to support data modeling, machine learning, and experimentation.
• Keep up to date with the latest trends and developments in data science and related fields.
About You:
• An interest in data science and willing to learn and apply new skills and tools.
• Skills in organizing data and attention to detail.
• Ability to work independently and as part of a team.
• Excellent communication and presentation skills.
• Experience with Python or similar programming language and experience with data manipulation is a plus.
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