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As a Data Scientist, you will have the opportunity to manipulate large data sets, integrate diverse data sources, data types and data structures into solutions under management guidance. You will build experience developing analytical approaches to meet business requirements, which involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development.
What you will do
Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources
Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources
Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
Works on moderate 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.
Package, summarize and visualize analytical findings and results for management
Evaluate the work of peer and/or junior data scientists to ensure high quality solutions
What experience you need
BS degree in a STEM major or equivalent discipline
2-5 years of experience in a related analytical role, including experience with the design and development of predictive models
Cloud certification strongly preferred
Additional role-based certifications may be required depending upon region/BU requirements
Experience working in PICK enviroment
What could set you apart
Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus
Primary Location:
ESP-Madrid CastellanaFunction:
Function - Data and AnalyticsSchedule:
Full timeSkills Required
- Bachelor’s degree in a STEM major or equivalent discipline
- 2–5 years of experience in a related analytical role
- Experience designing and developing predictive models
- Cloud certification
- Additional role-based certifications, depending on regional or business-unit requirements
- Experience working in a PICK environment
- Master’s degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or a related discipline
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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