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Energy Data Solutions Specialist

1 week ago

City of Greater Geelong, Australia EnergyAustralia Full time

We're seeking a talented Senior Data Scientist to join our team at EnergyAustralia. As a key member of our data science function, you will be responsible for developing and implementing data-driven solutions that drive business value.

Your expertise in machine learning, advanced analytics, and data engineering will enable you to design and deliver innovative data solutions that meet the evolving needs of our business.

  • Work closely with business stakeholders to understand their needs and develop tailored data solutions that address specific pain points.
  • Lead the development and deployment of machine learning models that provide actionable insights and drive business outcomes.
  • Collaborate with cross-functional teams to enhance the data infrastructure supporting advanced analytics and machine learning operations.
  • Mentor junior data professionals and contribute to the ongoing learning and development of the data team.

About you:

You are a highly skilled data scientist with a passion for innovation and a desire to make a meaningful impact. You possess excellent technical skills, strong communication abilities, and a proven track record of delivering results in a fast-paced environment.

Key qualifications include:

  • Ph.D. or Master's Degree in a technical field such as Data Science, Computer Science, Statistics, Applied Mathematics, or similar professional experience.
  • Proven experience in end-to-end production-based machine learning pipeline, including data preparation, model building, and deploying models into production using MLOps practices.
  • Strong programming skills, with experience in data science tools and technologies – Python is our primary language.
  • Familiarity with cloud technologies, including platforms like Databricks (or Spark), AWS, Azure, and Google Cloud Platform.
  • A foundation in statistical modelling and advanced mathematical concepts, with the ability to apply these in various data science contexts.
  • Proficient in natural language processing (NLP), to implement generative AI and large language models (LLMs) for complex, language-based data tasks.
  • Excellent written and verbal communication skills, with the ability to effectively communicate with technical and non-technical stakeholders.