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Equifax
Equifax
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Equifax is a global finance, fintech, and cybersecurity company focused on turning data into insights for high-stakes decisions. Its offerings include credit reporting, risk modeling, identity protection, analytics, cloud technology, and artificial intelligence serving financial institutions, employers, and government entities. Headquartered in Atlanta, Equifax has nearly 15,000 employees across 24 countries and combines proprietary data with technology to support informed decisions for its clients.
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Data Scientist – Hybrid Australia

Join Equifax as a Data Scientist developing predictive models, analytics, and dashboards for business clients. This full-time hybrid role supports work across Melbourne, Sydney, or Brisbane using SQL, Tableau, and cloud data tools.

AUAustraliaHybridFull-timeJuniorMiddleEnglish RequiredData Scientist
CloudGoogle Cloud PlatformPythonSparkSQLTableau

Description

  • Manage large datasets and combine varied data sources, formats, and structures into analytical solutions under management direction.
  • Design analytical methods that address defined business needs.
  • Convert stakeholder requests into visualizations, dashboards, use cases, test cases, training datasets, and iterative algorithm development.
  • Prepare datasets and perform analysis using data structures, analytical methods, algorithms, models, and computer science principles.
  • Collect data from established and emerging sources for analytical work.
  • Integrate complex and newly available data sources into analytical solutions.
  • Partner with other teams to build predictive models, risk assessments, fraud detection capabilities, and recommendation engines.
  • Organize, summarize, and visualize analytical results for management audiences.
  • Produce presentation-ready analyses and visualizations for internal and external clients with Spotfire or open-source visualization tools.
  • Design dashboard and report wireframes and mockups to communicate functionality and visualization concepts to teams and clients.

Requirements

  • Bachelor’s degree in a STEM field or an equivalent discipline.
  • At least two years of experience in a related analytical position.
  • Experience designing and developing predictive models.
  • A cloud certification is strongly preferred.
  • Proven ability to write SQL queries for extracting and manipulating data.
  • Practical experience creating business intelligence reports and dashboards in Tableau.
  • Experience applying statistical analysis methods to commercial or marketing datasets.
  • A master’s degree or higher in mathematics, computer science, engineering, operations research, statistics, or a related field is advantageous.
  • Hands-on experience with Google Cloud Platform or other cloud data environments.
  • Advanced proficiency in Python, R, Hive, Impala, or Spark.
  • Practical experience with alternative business intelligence tools such as Tableau or Spotfire.
  • Experience in data journalism or communicating complex data narratives to varied audiences.

Benefits

  • Four days of in-office collaboration from Monday through Thursday.
  • Flexible remote work on Fridays.
  • An inclusive workplace that welcomes people from all backgrounds.
  • Applications are encouraged from Aboriginal and Torres Strait Islander peoples.

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