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Data Science Professional

1 week ago

Brisbane, Queensland, Australia Expose Data Pty Full time

About Exposé Data Pty: We're a leading Data & Analytics Consultancy with offices in Adelaide, Brisbane, and Melbourne. Our team is passionate about delivering excellent work culture, flexible working arrangements, access to cutting-edge technology, professional development, and more.

We're looking for an experienced Data Scientist to join our team. As a consultant, you'll be supported and trained to become a leading Data Specialist. You'll work on challenging projects, putting your professional mark on the work.

In this role, you'll collaborate with our team and clients to create insightful solutions that help clients make informed decisions. You'll use your Data Science skills and experience to analyze, integrate, model, and move data to create data and analytics solutions for our clients.

  • Data Science experience:
  • Experience with AIML and/or Databricks
  • Strong proficiency in Python and/or R for data analysis and modeling
  • Expertise in machine learning algorithms and statistical modeling
  • Advanced skills in data manipulation using libraries like Pandas, NumPy, and SQL
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Proven track record of developing and deploying machine learning models
  • Familiarity with big data technologies (e.g., Spark, Hadoop)
  • Proficiency in data visualization (e.g., Matplotlib, Seaborn, PowerBI)
  • Strong understanding of statistical concepts and experimental design
  • Experience with version control systems (e.g., Git)
  • Minimum of 3-5 years of experience in a data science role
  • Proficiency in cloud-based data science workflows, preferably on AWS
  • Experience with cloud-based machine learning platforms and services
  • Familiarity with cloud data storage, data warehousing, and ETL processes
  • Understanding of cloud-based monitoring and logging for data science projects
  • Experience with modern AI applications, including large language models (LLMs) and generative AI techniques
  • Strong experience in on-premises as well as cloud-based data analytics technologies and domains
  • Strong experience in creating data analytics solutions in cloud-based, on-premises and hybrid domains
  • Strong Azure experience is essential
  • Strong experience in Databricks (incl Unity Catalog) or Snowflake environments is essential
  • In addition to, or as an alternative, AWS or Google Cloud Platform experience is advantageous
  • As a technical consultant, we require coverage of both conventional business intelligence (ETL, DW, Semantic Models) as well as modern data analytics (medallion architectures, ELT)
  • End-to-end flow of data through a modern data ecosystem using data across structured, semi-structured and unstructured) and across all velocities (from batch to real-time)
  • An understanding of and experience in data warehousing in the modern sense (including Lakehouse, Delta and Data Mesh)
  • Release management and CICD (incl GIT)