Data Scientist
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| Company Name | Affinda |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Sydney, Australia |
| Qualifications | Bachelor’s Degree |
| Experience | 3 Year+ |
Job Overview
We are seeking a talented Data Scientist to join our team at Affinda in Sydney, Australia. You will play a key role in developing and implementing advanced machine learning models to extract and analyze data from various sources.
Company Overview
Affinda is a technology company specializing in intelligent data extraction and analysis solutions. We are dedicated to transforming how businesses handle data, providing innovative tools and services to optimize their workflows and decision-making processes.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: Bachelor’s Degree
- Experience: 3+ Years
Key Responsibilities
- Develop and implement machine learning models for data extraction and analysis.
- Collaborate with cross-functional teams to define project requirements and deliverables.
- Perform data cleaning, preprocessing, and feature engineering to enhance model performance.
- Evaluate model performance and iterate on improvements based on feedback and analysis.
- Stay up-to-date with the latest advancements in machine learning and data science techniques.
Requirements
- Bachelor’s degree in Computer Science, Statistics, or a related field.
- Proven experience in developing and deploying machine learning models.
- Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch).
- Excellent problem-solving and analytical skills.
- Ability to communicate technical concepts effectively to non-technical audiences.
Benefits
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge data extraction and analysis technologies.
- Collaborative and supportive work environment.
- Professional development opportunities to enhance your skills and knowledge.
- Make a significant impact on the future of data processing and automation.
