Our Data Scientist roles are unique. The ideal candidate is a rare hybrid, a scientist with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. He or she will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Want to know more?
What You’ll Do:
Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
Lead the development or projects with multiple deliverables, leveraging business and technical expertise.Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy
What experience you need
BS degree in a STEM major or equivalent discipline
5-7 years of experience in a related analytical role
Proven track record of designing and developing predictive models in real-world applications
Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
Cloud certification strongly preferred
Additional role-based certifications may be required depending upon region/BU requirements
What could set you apart
Passion for data science, data mining, machine learning and experience with big data architectures and methods
A Master's degree in a quantitative field (Statistics, Mathematics, Economics)
Primary Location:
AUS-MelbourneFunction:
Function - Data and AnalyticsSchedule:
Full timeEquifax Inc. Melbourne, Victoria, AUS Office
140 William St, Melbourne, VIC, Australia, 3000
