Senior Data Scientist
Perth, WA, AU
Fortescue
Welcome to Fortescue. We're a global green energy and metals company.Our Opportunity
Work Location: Fortescue Centre - Fortescue's Perth office is located on the traditional lands of the Whadjuk people.
Roster: Monday to Friday
Fortescue is transforming its business through Artificial Intelligence, bringing our unique culture of innovation and leading through doing to transform our asset and employee productivity. The key mission of this role will be to develop and deliver AI solutions and systems to deliver on this vision, with specific focus on NLP and LLM applications. The right candidate will bring a strong curiosity and technical perspective to these challenges, including experience in data science and AI algorithm and system design, specifically on NLP and LLMs, along with a drive for delivering outcomes and working software in cross-functional teams.
Key Responsibilities
- Design, development and implementation of AI systems, with focus on NLP and LLM applications
- Help identify, quantify and validate efficiency and productivity opportunities for AI systems using data from a wide range of sources
- Engage and collaborate with internal and external stakeholders to shape AI system requirements
- Identify opportunities for implementing AI and ML in our operations and implement them
- Develop and refine algorithms to improve process efficiency and effectiveness
- Monitor model performance and continuously improve accuracy and reliability
- Staying up to date with developments in AI and ML, and incorporating new techniques and technologies into our AI system design
Qualifications and Experience
- An advanced degree in computer science, mathematics, statistics, machine learning or engineering
- Strong knowledge of data science tools and technologies, and software development best practices including programming languages such as Python and the use of Git
- Experience in NLP (including traditional NLP and NLU algorithms) and LLMs is essential
- Strong understanding and practical experience in statistics and machine learning, including causal inference and experimental design
- Experience (5+ years) in data science and AI solution and system development with mining, energy or heavy industrial operations applications preferred
- Exceptional analytical and problem-solving skills
- Strong written and verbal communication skills, with the ability to communicate complex technical concepts within a multi-disciplinary product team
- Experience in platforms such as Snowflake, S3 and Sagemaker (beneficial)
About Us
Be part of something big. Fortescue is leading the world with our plan to decarbonise our iron ore operations, projects that harness renewable energy and the development of technology that will change our planet forever.
Our Commitment
Fortescue celebrates individual strengths and team members are encouraged to bring their whole selves to work. Our global workforce drives and promotes an inclusive culture, both within our organisation and throughout the communities we interact with. Diverse backgrounds include First Nations Peoples, people with disabilities, LGBTQ+ community, gender, neurodiverse, cultural diversity, all age groups, and those with an intersectional or multiple diverse characteristics. We encourage candidates from all backgrounds to apply.
https://fortescue.com/careers
Internal Candidates / Current Contractors please apply via Success Factors Careers Portal. For further information on how to apply please visit the Fortescue Hub.
Fortescue reserves the right to close applications early should a suitable pool of candidates be identified. Fortescue will never contact you to ask for payment of any kind, whether directly or through a third party.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Causal inference Computer Science Engineering Git Industrial LLMs Machine Learning Mathematics NLP NLU Python SageMaker Snowflake Statistics
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.