Hybrid Data Scientist — 4-Day Office + Friday Flex

Equifax, Inc.; Auckland; On-site; NZD 120,000 - 160,000; Full time

Job summary

Equifax, Inc. in Auckland is seeking a Data Scientist to manipulate large data sets and integrate diverse data sources under guidance.

You will design analytical approaches, translate requests into outputs such as visuals, dashboards, and training data sets, and iteratively develop algorithms. Responsibilities include preparing data, building predictive models, and delivering compelling visual insights to management and clients using Tableau, Spotfire, or other tools.

Qualifications

• BS degree in a STEM major or equivalent discipline
• 2+ years of experience in a related analytical role, including predictive models
• Cloud certification strongly preferred
• Demonstrated experience writing SQL queries for data extraction and manipulation
• Hands-on experience developing BI reports and dashboards using Tableau
• Demonstrated experience applying statistical analysis techniques to commercial or marketing datasets

Responsibilities

• Prepare datasets, conduct analytics, and develop deployable solutions with guidance from senior resources
• Analyze and assemble data from standard and new sources for analysis
• Collaborate with teams to develop predictive models, risk assessments, fraud detection, or recommendation engines
• Summarize and visualize analytical findings for management
• Create presentation-ready visualizations using Tableau and Spotfire
• Build wireframes and mockups of dashboards and reports for internal and client communication

Skills

SQL queries

Analytical programming

Python/R

Statistics

Education

Bachelor's degree in STEM

Master’s degree (preferred)

Tools

Tableau

Spotfire

GCP / Cloud

Job description

Equifax, Inc. in Auckland is seeking a Data Scientist to manipulate large data sets and integrate diverse data sources under guidance.

You will design analytical approaches, translate requests into outputs such as visuals, dashboards, and training data sets, and iteratively develop algorithms. Responsibilities include preparing data, building predictive models, and delivering compelling visual insights to management and clients using Tableau, Spotfire, or other tools.