Senior Data Scientist

4 days ago

Sydney, New South Wales, Australia Infosys Singapore & Australia Full time
Unlock Business Potential with Data Science

Infosys Consulting is a global leader in management and IT consultancy, partnering with clients to design and implement customized solutions to address complex business challenges. As a Senior Data Scientist, you will play a key role in driving business value by leveraging machine learning and deep learning techniques to solve real-world problems.

Key Responsibilities:
  • Design and develop machine learning models and algorithms to solve complex business problems.
  • Utilize Python for data analysis, model development, and implementation.
  • Apply deep learning techniques for advanced predictive analytics and insights.
  • Implement ML Ops best practices to ensure scalable, reliable, and efficient deployment of machine learning models.
  • Collaborate with data engineers, analysts, and other stakeholders to gather requirements and deliver actionable insights.
  • Monitor and maintain deployed models to ensure performance and accuracy over time.
  • Conduct exploratory data analysis and visualize findings to communicate results effectively.
  • Stay updated with the latest advancements in machine learning, deep learning, and ML Ops to continuously improve processes and models.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience as a Data Scientist, Machine Learning Engineer, or a similar role.
  • Strong proficiency in Python and its libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch).
  • Experience with ML Ops tools and frameworks (e.g., MLflow, Kubeflow, Docker, Kubernetes).
  • Solid understanding of deep learning architectures and frameworks.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
  • Strong problem-solving skills and the ability to work with complex datasets.
  • Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.
  • Experience with version control systems (e.g., Git) and collaborative development workflows.
Preferred Qualifications:
  • Experience in the financial services, telco, or retail domains.
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Experience with natural language processing (NLP) and computer vision applications.

We offer a dynamic and collaborative work environment, opportunities for professional growth, and a chance to work on challenging projects that drive business value. If you are passionate about data science and machine learning, we encourage you to apply for this exciting opportunity.

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