Senior Data Scientist, Energy Australia Services Pty Ltd. Melbourne VIC. Business/Systems Analysts (Information & Communication Technology). Full time. Great salary & Annual Performance Bonus.
About the role: As the Senior Data Scientist, you will be joining a data uplift team part of our Customer Data Office. Additionally, you will work with a range of EnergyAustralia's business units to identify, understand and evaluate where data science and machine learning techniques can be used to provide solutions at the enterprise level.
Additional responsibilities include:
Collaborating on end-to-end processes, from identifying potential data-driven opportunities to executing data models that solve complex business problems, and working with both technical & non-technical stakeholders.
Working across the full data science lifecycle, including ideation, hypothesis development and developing and deploying data products/POCs.
Collaborating with IT and data/software development teams to enhance the data infrastructure that supports advanced analytics and machine learning operations.
Engaging with business and contributing to solutions that encompass Advanced Analytics using Machine Learning, Natural Language processing, Real-time decisioning, Channel Analytics and Guided Actions.
Mentoring junior data professionals, sharing knowledge through workshops and seminars, and contributing to the ongoing learning and continuous development of the data teams & wider business.
About you: You have a genuine curiosity and passion for data and how it can be used to solve real-world problems. You will have technical expertise and the communication style needed to translate this to various stakeholders as solutions to their business needs.
Additionally, you will have some of the following:
Ph.D. or Master's Degree in a technical field such as Data Science, Computer Science, Statistics, Applied Mathematics, or similar professional experience.
Understanding and proven experience of end-to-end production-based machine learning pipeline, including data preparation, model building, and deploying models into production using MLOps practices.
Programming skills and strong experience in data science tools and technologies—Python is our Lingua Franca.
Skilled in cloud technologies, with practical experience in 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 a variety of data science contexts.
Proficient in natural language processing (NLP) to implement generative AI and large language models (LLMs) for complex, language-based data tasks.
Familiar with working in squads or delivery teams.
Strong written and verbal communication skills and a proven ability to effectively communicate with technical and non-technical stakeholders.
Why Us: At EnergyAustralia, we are committed to providing an inclusive culture so our employees can bring their whole selves to work and have a sense of belonging. As an employee, you can enjoy such benefits as:
Annual Performance Bonus.
20 weeks' paid parental leave that's completely gender-equal.
Employee discount on your electricity and gas, discounts on major brands and products.
Energize Program: flexible working that is team-centric, enabling all individuals to agree and succeed together.
Excellent company culture, down-to-earth and friendly organization—be authentic, bring your whole self to work!
2 paid recharge days.
State-of-the-art Melbourne office, stunning views only 3-4 minute walk from Southern Cross station.
Inhouse Café and Onsite Tech Bar.
From our PRISM network that creates a positive culture for LGBTQ+ employees to our Reconciliation Action Plan that has commitments to strengthen relationships with Aboriginal and Torres Strait Islander people and organisations, it's a workplace where everyone's welcome.
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