Data Scientist

Also known as: Data quality manager, Data manager, Data engineer Is this role right for you? You'll need strong analytical and problem-solving skills, and excellent attention to detail. You'll be highly skilled in programming languages and tools, and know how to think strategically to connect data possibilities with business needs. You must also be a good communicator because you will need to engage with stakeholders to understand requirements. What are some example projects or experiences? Data scientists take raw data and turn it into information and insights that people can use to make decisions. They play a central role in imagining the future of passenger and freight rail operations. With millions of people and tonnes of freight moving across the country every day, the careful analysis of data helps improve efficiency and reliability. It also enables forecasting to support accurate future planning. What is the work environment like? You'll work in an office with a team of engineers, business analysts, and IT professionals. You'll use specialised data tools to create algorithms and data models that answer critical questions for the organisation and business users. Your work could be used to redesign passenger network schedules, improve the efficiency of rail freight movements, or design a new tram network. You can find work as a data scientist all around Australia. Most jobs are in cities and towns. Data scientists typically require a university degree in computer science, information technology, statistics, or mathematics. Specialist post-graduate qualifications in data science are highly desirable. Our industry values diverse personal and work experience. Many employers can provide you with opportunities to gain new qualifications and industry experience to help you succeed. Salaries may vary outside of these ranges, based on company size and location, level of experience, competence and time in role. #J-18808-Ljbffr