Data Scientist

At Orica, it s the power of our people that leads change and shapes our futures. Every day, all around the world, our people help mobilize vital resources essential to progress. Established in 1874, we have grown to become the world leader in mining and civil blasting with a diverse of team of more than 13,000 across the world.

It s an exciting time to join us - we are shaping the future of mining through digital and automated technologies, embracing new ways of thinking, pioneering innovation and reimagining the way we work.

The Data Scientist - Blasting Analytics CoE provides specialist analytical support and generates insights using Orica, customer, and third-party data to enable Orica to sustainably create value.

Visibly demonstrating a commitment to Orica s value of Safety is our priority
Adhering to Orica s Global Operating Procedures.
Work closely with specialist to understand analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
Perform data cleansing, and data quality assessments to maintain data integrity.
Analyse blast measurements data against a baseline, develops customized tools and analytics capabilities to support delivery of outcomes.
Identify valuable data sources and automate collection processes and undertake preprocessing of structured and unstructured data
Analyse data to discover trends and patterns, build predictive models using machine-learning algorithms, testing, evaluation and deployment.
Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources for internal and external stakeholder groups.
Complete User Acceptance Testing in preparation for insight

Tertiary qualification required, preferably in Engineering, Science (Computer/Data Science) or equivalent.
Minimum 8 years experience post professional qualification in data science field preferably focused on Azure platform.
Proven analytics skills, including data mining, evaluation, and visualization
Experience with data analysis including machine learning algorithm, predictive model building, testing, evaluation metrics and model deployment
Proficiency in programming languages such as Python, R, PySpark and SQL.
Strong knowledge in statistics
Knowledge of Azure Synapse Analytics, Azure ML other Azure services such as Azure DevOps, Azure Storage, Azure SQL Database, Azure Data Factory etc.
Highly advantageous: Understanding of minerals and mining industry measurement tools and data.
Demonstrates courage, models resilience and flexibility.
Possess unquestioned reputation for integrity, ethics, personal values, and solid character.
Builds the trust of others.
Strong stakeholder management, interpersonal and communication skills.
Self-aware and open to feedback.
Strong attention to detail, with a high level of accuracy, integrity, and accountability. High level decision making and problem-solving skills.
Self-motivated, well organized, and logical, with ability to work under pressure and meet deadlines.

As part of a truly global company, you will have the ability to grow and learn in a diverse, collaborative culture. We foster relationships and learning through connected global and local teams, promote flexible and diverse career paths and support the development of your knowledge and skills.

You will be paid a competitive salary, learn from talented individuals across multiple disciplines and be able to thrive in a safe workplace within a collaborative culture. Ignite your career at a place where your distinct potential can find its home.

Orica promotes and fosters a culture of inclusion and Equal Opportunity Employment everywhere we operate. We treat our people and applicants with fairness, dignity, and respect, getting the best of everyone s contributions. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, gender perception or identity, nationality, age, military or veteran, marital or disability status.