Senior Data Scientist

Requisition ID: 65983

Job Category: Digital; Information Technology

Location: Brisbane, Queensland, Australia

With over six decades of business and technical experience in the mining, energy, and infrastructure sectors, we see challenges evolving in every industry. We respond quickly with solutions that are smarter, more efficient, and innovative. We draw upon our 9,000 staff, with experience in over 150 countries, to challenge the status quo and create positive change for our clients, our employees, and the communities we serve.

We're at the forefront of our clients' digital transformation journey, successfully implementing emerging digital services into our clients' projects and operations that unlock a step change in their performance. Join the team to improve project outcomes, leverage the digital twin, deliver systems integration and interoperability, and support decision-making, autonomous execution, and integrated operations and performance centers.

Looking to take the next step in your career? Hatch is currently seeking a highly motivated Senior Data Scientist for a key role in its Digital Practice. We are looking for a creative problem-solver that is motivated by the desire to deliver innovative, efficient and sustainable solutions with improved business outcomes. The successful candidate will have an opportunity to work on leading edge digital technologies.

Working in the Decision Support Center of Excellence and our delivery practice, you will provide technical guidance in the development of data science-based solutions that deliver clear value for our clients. You have deep technical knowledge and a history of assisting organizations create solutions using Advanced Analytics, Machine Learning, Data Science technologies, including modeling and algorithms.

Join our diverse team and award-winning culture and be part of our clients’ digital transformation journey by working to define the best methods and making sure they are supported by the right technology and an enabled workforce.

As the successful candidate, you will:

• Be the Subject Matter Expert (SME) on Machine Learning/ Advanced Analytics technologies to both internal Hatch teams and external Hatch clients
• Communicate and coordinate effectively with internal Hatch stakeholders and external clients to ensure models & results are well understood and incorporated into their business processes
• Process, cleanse, and verify the integrity of data used for analysis
• Identify, interpret and communicate meaningful insights from large data and metadata sources to clients and internal interdisciplinary teams
• Identify opportunities to improve data collection and management procedures
• Select the most appropriate Machine Learning methods for specific applications, validate and deploy data analytics models to achieve business results
• Demonstrate thought leadership through company blogs, articles, white papers, conference presentations, etc.

You bring to the role:

• Bachelor’s degree in Engineering, Computer Science, Mathematics or equivalent from an accredited University
• 5+ years of experience developing and applying innovative data-driven models in industrial and business settings
• Experience in quantitative analysis / research of large, complex data sets
• Excellent knowledge and experience applying machine learning techniques and algorithms such as k-NN, LSTM, Naïve Bayes, SVM, Decision Forests, Neural Networks, multivariate analysis (PCA/ PLS), etc.
• Excellent scripting and programming skills in common data science analytical/programming tools (e.g., Python, R) and data visualization tools (e.g., PowerBI, Tableau)
• Comfortable with common industrial data sources (e.g., Time Series Historians, SQL Databases)
• A keen interest in creating innovative solutions to solve challenging industrial problems
• Demonstrated ability to work both collaboratively and independently
• The ability to build relationships and effectively influence colleagues, clients and stakeholders
• Excellent communication, interpersonal and teamwork skills
• An interest and curiosity in industrial processes, like mining, metals, power generation, etc.

The following is considered an asset:

• Experience with deep learning frameworks (Keras, TensorFlow, PyTorch) and cloud technologies (e.g., AWS, GCP, MS Azure)
• Experience with MLOps
• A postgraduate degree in mathematics, statistics, computer science, engineering or another quantitative field
• Experience in optimization and development of scheduling algorithms in industrial settings

Why join us?

• Work with great people to make a difference
• Collaborate on exciting projects to develop innovative solutions
• Top employer

What we offer you?

• Flexible work environment
• Long term career development
• Think globally, work locally

As an accredited Employer of Choice for Gender Equality (WGEA) and Equal Opportunity Employer, we are committed to fostering a workforce in each of our locations that reflects the diversity of the communities in which we operate. Within Australia, this includes supporting and encouraging a flexible workplace and a comprehensive benefit offering. If you have any special needs requirements, please discuss with us and we will do our utmost to accommodate your request.