Data Scientist
At Pulse Clean Energy, we are passionate about changing energy systems for the better. To do this we are building a team of people who can bring diversity of thought, expertise, and ideas to tackle big issues that will have a positive impact on our lives and the lives of those around us!
We invite you to join our growing, entrepreneurial team who want to make net zero a reality.
About the Role:
As a Data Scientist, you will be at the forefront of our mission to accelerate the transition to clean energy. You will play a crucial role in analysing and interpreting complex data to improve the performance and efficiency of our battery storage systems and combine this with other data sources to build the big picture. You will develop advanced models, algorithms, and analytics to support decision-making and enhance the operational capabilities of our solutions. The role will report to our Strategy & Analytics Manager.
This role is being offered as a 6 month contract, however could have the potential to become a permanent position. We work on a hybrid basis (4 days a week in our office in Victoria, 1 from home).
Key responsibilities:
• Build standardised dashboards and reports to be used by different teams, including management;
• Monitor and report on the performance of energy storage assets, and provide actionable insight;
• Design, develop and maintain cloud-based models to forecast and optimize the physical and market performance of energy storage assets.
Additional responsibilities:
• Combine and analyse proprietary and public datasets to extract further actionable insight;
• Collaborate with engineering, operations and market teams to integrate data-tools in their decision making process;
• Stay up-to-date with the latest advancements in data science, machine learning, and energy storage technologies.
Ideal skills preferred:
• Degree (BSc, M.S. or Ph.D.) in Data Science, Computer Science and Statistics preferred. Candidates with degrees in Mathematics, Physics, and Engineering are welcome to apply;
• Programming proficiency in languages like SQL, Python and R with a focus on data manipulation, statistical analysis, and modelling;
• Experience: Minimum one year of experience working in data analysis and/or energy;
• Statistical Analysis: Strong understanding of statistical methods and their applications;
• Machine Learning: Knowledge of machine learning algorithms and frameworks;
• Data Wrangling: Ability to clean, transform, and prepare data for analysis;
• Big Data Technologies: Experience platforms like AWS, Google BigQuery, MS Azure;
• Data Visualization: Skills in creating visualizations using tools like Grafana, Superset, Power BI;
• Problem-solving: Proactive and keen problem solver who can focus on appropriate detail when solving problems and propose effective solutions;
• Communication: Ability to convey complex technical concepts to non-technical stakeholders.
What Pulse Clean Energy Can Offer You:
At Pulse our purpose is to Improve Lives. We do this by making energy systems more stable, less costly, and more secure – all whilst contributing to a future which aspires to a zero emissions environment. While exhibiting an unwavering commitment to our values - Leadership, Ethical Stewardship, and Teamwork – we believe that our work will enable the enduring transformation of energy systems. People at Pulse share a belief in a more affordable, sustainable, and secure future. A future where our contributions to energy management will improve lives.
We thrive on the challenge to be our best, to deliver an unparalleled employee experience and to work as one team to continuously improve the social, economic, and natural environments in which we operate. In addition to offering a competitive salary and comprehensive benefit package, we pride ourselves on helping you reach your potential, making a difference in our communities, and achieving success that is mutual.
