Data Scientist

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Company NameAffinda
Company TypePrivate
Job TypeFull-Time
Salary RangeMarket Competitive
LocationSydney, Australia
QualificationsBachelor’s Degree
Experience3 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.

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