Data Scientist

    Apply to Job Here


    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.

    Apply to Job Here