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.
Data Scientist - Auckland Hybrid
Develop predictive models, analytics, and dashboards from large datasets. Build visualizations and analytical solutions for business and client needs.
Description
- Integrate large datasets from diverse sources, formats, and structures into solutions with management guidance.
- Design analytical approaches that address business requirements.
- Convert requests into visualizations, dashboards, use cases, test cases, training datasets, and iterative algorithm development.
- Prepare datasets, perform analyses, and create deployable solutions.
- Analyze and prepare data from established and emerging sources for analytical applications.
- Partner with other teams to develop predictive models, risk assessments, fraud detection solutions, and recommendation engines.
- Package, summarize, and visualize analytical findings for management.
- Produce presentation-ready visualizations and analyses for internal and external clients using Spotfire and open-source visualization tools.
- Create dashboard and report wireframes and mockups to communicate functionality and visualization concepts to internal and client audiences.
Requirements
- Bachelor’s degree in a STEM or equivalent discipline.
- At least two years of experience in a related analytical role, including designing and developing predictive models.
- Cloud certification is strongly preferred.
- Demonstrated ability to write SQL queries for data extraction and transformation.
- Practical experience creating business intelligence reports and dashboards with Tableau.
- Demonstrated application of 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 discipline is a strong advantage.
- Hands-on experience with Google Cloud Platform or other cloud data environments.
- Advanced proficiency in analytical programming languages such as Python, R, Hive, Impala, or Spark.
- Practical experience with BI tools such as Tableau or Spotfire.
- A proven background in data journalism or communicating complex data stories to varied audiences.
Benefits
- Work in the office four days per week, Monday through Thursday, with flexibility to work remotely on Fridays.
- Fixed-term 12-month contract.