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 timeSkills Required
- 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
- Additional role-based certifications may be required depending upon region/BU requirements
Equifax Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Equifax Inc. and has not been reviewed or approved by Equifax Inc..
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Retirement Support — Savings programs include a 401(k) with company matching and, in some contexts, profit-sharing or pension components. These are described as solid parts of the total package.
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Parental & Family Support — Programs include paid parental leave for birth and non-birthing parents and adoption assistance. Company materials highlight these benefits as part of a family-supportive offering.
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Flexible Benefits — Multiple medical plan choices, dental and vision options, FSAs/HSAs, and voluntary supplemental coverages enable customization. The company publishes plan summaries and SPDs to help compare cost and coverage by location and tier.
Equifax Inc. Insights
What We Do
At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward. Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region. For more information, visit Equifax.com.
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