Lead Data Scientist

Newcastle - Australia

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

As a Lead Data Scientist at Evergen your responsibilities will include the following:

Design and Implementation of Optimisation Models: Execute complex data modelling statistical analysis and machine learning projects to improve the efficiency of renewable energy systems ensuring alignment with project goals and organisational objectives.
Data Quality and Integrity: Ensure the accuracy reliability and quality of datasets used in modelling and analytics maintaining high standards for data handling and processing.
Performance Monitoring and Reporting: Ensure implemented solutions produce expected results and communicate results insights and recommendations to internal and external stakeholders.
Innovation and Continuous Improvement: Stay updated on industry trends emerging technologies and best practices in data science and renewable energy to propose and implement innovative solutions. Define what best practice means at Evergen and help foster a culture of excellence
Collaboration with Teams and Stakeholders: Work closely with technical and business leads to align technical solutions with broader business strategies and customer needs and help mentor other data scientists within your team
Compliance and Sustainability Goals: Ensure all optimisation strategies and implementations comply with regulatory requirements and contribute toward the organisations sustainability objectives.
Promote a safe and healthy work environment and contribute to continual improvement in quality and performance at Evergen by complying with all relevant policies and procedures (Include this is mandatory accountability for all staff)

Qualifications :

5 years of data science experience including 2 years leadership experience
Bachelors Masters or Ph.D. in: Computer Science Data Science Artificial Intelligence Machine Learning Electrical/Mechatronic Engineering (with a focus on data systems or signal processing) Physics (with a computational focus) Applied Mathematics and Statistics or similar
Optimisation Knowledge: Hands-on experience implementing linear and mixed-integer linear optimisation in production environments including familiarity with solvers (e.g. Gurobi CPLEX OR-Tools). Understanding of model predictive control principles
Machine Learning: Strong foundations in time-series forecasting with practical experience in supervised/unsupervised learning
Software development: Experience with Python RESTful APIs (FastAPI) and Test Driven Development. Familiarity with ML frameworks (e.g. PyTorch Scikit-learn)
Leadership: Proven track record of building and mentoring data science teams with strong coaching and communication skills
Collaboration & Communication: Strong presentation skills and ability to communicate insights and collaborate with cross-functional teams including engineers product managers and stakeholders
Ways of Working: Familiarity with Git JIRA and Agile methodologies

Bonus Skills

Big Data & Cloud Technologies: Knowledge of cloud platforms (AWS Azure GCP) distributed computing tools (Spark Hadoop) and data storage solutions
Data Engineering: Proficient with SQL data pipelines and ETL processes
Domain Knowledge: Understanding of load and PV forecasting energy market operation electrical systems and/or consumer energy resources

Additional Information :

This role can be based in Newcastle or Sydney. We offer a dynamic and inclusive workplace that values collaboration and diversity. With a flexible hybrid working mode we prioritise work-life balance while fostering personal and professional growth.

Our team is a diverse group of brilliant curious and passionate individuals working together to solve some of the worlds most pressing energy challenges.

If youre excited to make a real impact on the future of energy wed love to hear from you! Submit your application today and help us build a sustainable energy future.

Remote Work :

Employment Type :

Full-time

As a Lead Data Scientist at Evergen your responsibilities will include the following:Design and Implementation of Optimisation Models: Execute complex data modelling statistical analysis and machine learning projects to improve the efficiency of renewable energy systems ensuring alignment with proje...

As a Lead Data Scientist at Evergen your responsibilities will include the following:

Design and Implementation of Optimisation Models: Execute complex data modelling statistical analysis and machine learning projects to improve the efficiency of renewable energy systems ensuring alignment with project goals and organisational objectives.
Data Quality and Integrity: Ensure the accuracy reliability and quality of datasets used in modelling and analytics maintaining high standards for data handling and processing.
Performance Monitoring and Reporting: Ensure implemented solutions produce expected results and communicate results insights and recommendations to internal and external stakeholders.
Innovation and Continuous Improvement: Stay updated on industry trends emerging technologies and best practices in data science and renewable energy to propose and implement innovative solutions. Define what best practice means at Evergen and help foster a culture of excellence
Collaboration with Teams and Stakeholders: Work closely with technical and business leads to align technical solutions with broader business strategies and customer needs and help mentor other data scientists within your team
Compliance and Sustainability Goals: Ensure all optimisation strategies and implementations comply with regulatory requirements and contribute toward the organisations sustainability objectives.
Promote a safe and healthy work environment and contribute to continual improvement in quality and performance at Evergen by complying with all relevant policies and procedures (Include this is mandatory accountability for all staff)

Qualifications :

5 years of data science experience including 2 years leadership experience
Bachelors Masters or Ph.D. in: Computer Science Data Science Artificial Intelligence Machine Learning Electrical/Mechatronic Engineering (with a focus on data systems or signal processing) Physics (with a computational focus) Applied Mathematics and Statistics or similar
Optimisation Knowledge: Hands-on experience implementing linear and mixed-integer linear optimisation in production environments including familiarity with solvers (e.g. Gurobi CPLEX OR-Tools). Understanding of model predictive control principles
Machine Learning: Strong foundations in time-series forecasting with practical experience in supervised/unsupervised learning
Software development: Experience with Python RESTful APIs (FastAPI) and Test Driven Development. Familiarity with ML frameworks (e.g. PyTorch Scikit-learn)
Leadership: Proven track record of building and mentoring data science teams with strong coaching and communication skills
Collaboration & Communication: Strong presentation skills and ability to communicate insights and collaborate with cross-functional teams including engineers product managers and stakeholders
Ways of Working: Familiarity with Git JIRA and Agile methodologies

Bonus Skills

Big Data & Cloud Technologies: Knowledge of cloud platforms (AWS Azure GCP) distributed computing tools (Spark Hadoop) and data storage solutions
Data Engineering: Proficient with SQL data pipelines and ETL processes
Domain Knowledge: Understanding of load and PV forecasting energy market operation electrical systems and/or consumer energy resources

Additional Information :

Our team is a diverse group of brilliant curious and passionate individuals working together to solve some of the worlds most pressing energy challenges.

If youre excited to make a real impact on the future of energy wed love to hear from you! Submit your application today and help us build a sustainable energy future.

Remote Work :

Employment Type :

Full-time

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

Intellihub

At Intellihub, we're not just about metering and data solutions – we're about our people. Our team of passionate individuals drives our mission to simplify the energy transition and make a real difference in the lives of millions of people across Australia and New Zealand. But our su ... View more

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