Full-Time

Data Scientist

Career

Posted on 6/8/2026

Equifax

Equifax

10,001+ employees

Credit reporting data analytics and risk

No salary listed

No H1B Sponsorship

Atlanta, GA, USA

Hybrid

Hybrid schedule: two remote days (Mon and Fri) with three on-site days; on-site locations in Alpharetta, GA or Midtown Atlanta.

Master's, PhD

Category
Data & Analytics (1)
Required Skills
Python
TensorFlow
Apache Spark
SQL
Machine Learning
Pandas

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Requirements
  • Master’s degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
  • 5-7 years experience applying predictive analytics and modeling to solve business problems
  • Experience with Python, Tensorflow, SQL (strong skills and scripting experience), and Spark with advanced experience in data manipulation libraries (e.g., Pandas, Dask, Spark DataFrames)
  • Theoretical and practical understanding of algorithm time and space complexity, and a proven ability to apply this knowledge to develop efficient and scalable data science solutions
  • Excellent problem-solving skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment
Responsibilities
  • Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
  • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
  • Work on high complexity tasks in problems often within multiple business or analytical domains. Lead the development or projects with multiple deliverables leveraging business and technical expertise
  • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions. Engineer new features for use in solutions. Manage data storage in an analytical environment
  • Design code and solutions with guidance from management. Contributes to standard code repository, applies efficient coding best practices and improves the coding of others
  • Develop complex models and algorithms, understand performance and business implications of models
  • Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
  • Contribute to knowledge sharing sessions with the broader data science teams or departments
  • Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
Desired Qualifications
  • Experience of evaluating the technical work of peer data scientists
  • Experience with large-scale data processing in distributed environments
  • Strong communication skills of analytical results to technical and non-technical audiences alike
  • Experience working on big data platforms (e.g., Google Cloud, AWS, Snowflake, Hadoop) a plus
  • Experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
  • Agile development including Scrum
  • Ph.D. degree in mathematics, statistics, computer science, or related quantitative field

Equifax is a global data, analytics, and technology company that provides credit information and related services to businesses, governments, and consumers. It collects and analyzes large amounts of data to generate insights used for credit reporting, risk management, fraud detection, and identity verification. The company uses its Equifax Cloud to combine data with advanced analytics and machine learning, delivering credit reports, risk assessments, and global market insights to help clients make smarter decisions and improve customer experiences. Compared with competitors, Equifax emphasizes its large, differentiated data assets and integrated analytics platform to offer comprehensive, end-to-end solutions for credit and risk management. Its goal is to help clients assess credit risk, detect fraud, and explore opportunities more confidently in a changing financial landscape.

Company Size

10,001+

Company Stage

IPO

Headquarters

Atlanta, Georgia

Founded

1899

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 revenue rose 11% to $1.7 billion, with USIS up 17%.
  • Mortgage revenues jumped 40% in Q2 2026 as VantageScore adoption expanded.
  • Equifax doubled its 2026-2028 AI cost-savings target to $150 million.

What critics are saying

  • A $100 million FCRA settlement accrual in 2026 exposes recurring data-quality liability.
  • Debt reached $5.47 billion in June 2026 after new notes and buybacks.
  • If U.S. mortgage volumes stay weak into 2027, revenue growth slows and leverage worsens.

What makes Equifax unique

  • Equifax's EFX Cloud and EFX.AI power first-in-market mortgage and verification products.
  • The Work Number and proprietary employment data create a defensible verification moat.
  • Círculo de Crédito adds Mexico's fastest-growing bureau and 80 million validated identities.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

401(k) Company Match

Paid Vacation

Hybrid Work Options

Discounted Gym Memberships

Employee Stock Purchase Plan

Mental Health Support

Growth & Insights and Company News

Headcount

6 month growth

6%

1 year growth

6%

2 year growth

6%
Yahoo Finance
Aug 4th, 2026
Equifax raises $1B through back-to-back note sales after $1.49B share buyback

Equifax has raised $1 billion through two consecutive note sales, issuing $500 million of 5.00% notes due 2029 and $500 million of 5.650% notes due 2033. Both tranches are senior unsecured, fixed-rate debt priced slightly below par. The offerings follow Equifax's repurchase of $1.49 billion of stock since April 2025. The combination of new debt and equity buybacks is expected to increase financial leverage. Analysts note that Equifax already carries a high debt level. The company, known for consumer credit reporting and data services, typically relies on bond markets to fund technology investment, acquisitions, and refinancing needs. The new notes lock in funding costs and extend the company's maturity profile at fixed coupon levels.

Mark Hayward eBooks
Jul 30th, 2026
Cyber security Defence in Depth ~ 1.3 common vulnerabilities and exploits.

Cyber security Defence in Depth ~ 1.3 common vulnerabilities and exploits. From Heartbleed and the Target breach to Equifax - how common vulnerabilities are exploited in the real world, and how a defence-in-depth approach to patch management, vulnerability scanning, and attack vector analysis keeps organisations resilient. 1.3 common vulnerabilities and exploits. Commonly exploited vulnerabilities in systems and applications often stem from misconfigurations, outdated software, and inherent flaws in the code. One of the most significant vulnerabilities is the exploitation of unpatched software, where known security loopholes can be targeted by attackers to gain unauthorised access. For instance, the infamous Heartbleed bug in OpenSSL showcased how a simple oversight could allow attackers to siphon sensitive data from server memory. The impact of such vulnerabilities can be profound - leading to data breaches, financial loss, and a loss of trust from clients and customers. Understanding these vulnerabilities is crucial for cybersecurity professionals aiming to design resilient networks using a defence-in-depth approach. Analysing past incidents provides invaluable context for understanding the current threat landscape. Take the Target data breach in 2013, where attackers exploited weak third-party vendor access, resulting in the theft of millions of credit card numbers. This incident highlighted the need for a comprehensive security strategy that includes not only internal defences but also scrutinises third-party vulnerabilities. Another pertinent case is the Equifax breach of 2017, which occurred due to the failure to patch a known vulnerability in Apache Struts - affecting over 147 million people. These incidents illustrate not only the severe repercussions of exploited vulnerabilities but also emphasise the importance of continual monitoring and vulnerability management as vital components of a robust cybersecurity strategy. To effectively mitigate risks associated with common vulnerabilities, cybersecurity professionals must adopt a proactive approach. Regular software updates and thorough patch management can dramatically reduce the risk of exploitation. Moreover, integrating automated tools for vulnerability scanning and employing threat intelligence can help organisations stay a step ahead of potential attackers. Continuous security training for all employees is equally essential, reinforcing the idea that everyone plays a role in safeguarding the network. This layered defence ensures that even if one security measure fails, others will stand firm - reinforcing the fortifications of a well-designed network. 3.2 understanding attack vectors. Attack vectors are the various pathways or methods that cybercriminals use to infiltrate systems and networks. Understanding these vectors is crucial in the development and planning of Defence in Depth strategies, which aim to create multiple layers of security to protect assets. Each attack vector presents unique vulnerabilities, and by identifying them, cybersecurity professionals can implement protective measures at various levels. This multi-layered approach adds complexity for potential attackers, making it harder for them to succeed in breaching defences. The significance of attack vectors lies in their ability to inform the design and implementation of security architectures, ensuring that organisations can anticipate potential threats and build resilience against them. As technology evolves, so do the attack vectors that cybercriminals exploit. For instance, as more organisations adopt cloud computing and mobile technologies, attackers are increasingly targeting these environments through vulnerabilities specific to them. This evolution means that cybersecurity professionals must adopt a proactive approach to defence. Rather than merely responding to threats after they occur, understanding how attack vectors are changing allows for the anticipation of potential attacks. By continuously analysing how these vectors evolve, cybersecurity experts can enhance their defensive strategies - enabling them to stay one step ahead of adversaries. This could involve regularly updating software to patch vulnerabilities, training employees to recognise phishing attempts, or employing advanced threat detection tools that adapt to new attack patterns. Incorporating a dynamic understanding of attack vectors into security planning not only strengthens defences but also fosters a culture of security awareness within organisations. A practical tip for cybersecurity professionals is to perform regular threat modelling exercises. These exercises can help identify potential attack vectors relevant to your organisation and assess the effectiveness of existing defence mechanisms. By staying informed about the latest trends in cyber threats and continuously updating security protocols, teams can significantly bolster their Defence in Depth strategies. Continue the series Cyber security Defence in Depth ~ 1.4 designing secure networks. Up next in this series - keep going Want to go deeper? Cyber security Defence in Depth. Master layered security strategies - the gold standard approach to protecting organisations at every level from perimeter to endpoint. Found this useful? Share it: Stay ahead of cyber threats. New book alerts + expert cyber security insights - straight to your inbox.

Yahoo Finance
Jul 21st, 2026
Equifax Q2 earnings beat estimates as mortgage revenues surge 40%

Equifax reported second-quarter 2026 adjusted earnings of $2.25 per share, up 12.5% year over year, beating the Zacks Consensus Estimate of $2.21 by 1.8%. Revenues increased 10.6% year over year to $1.7 billion, surpassing consensus estimates. The strong performance was driven by growth in US Information Solutions, mortgage services, and verification offerings. USIS revenues climbed 17% to $611.6 million, with mortgage revenues rising 40% due to increased adoption of the company's mortgage scoring products. Workforce Solutions revenues increased 7% to $705.4 million, whilst International revenues rose 8% to $383.1 million. The Government business secured new contracts and renewals totalling approximately $300 million in annual contract value during the first half of 2026.

Yahoo Finance
Jul 21st, 2026
Equifax reports Q2 revenue of $1.7B in line with expectations but stock drops 12% on weak guidance

Equifax reported second-quarter revenue of $1.7 billion, meeting analyst expectations with 10.6% year-on-year growth. The credit reporting giant's non-GAAP earnings of $2.25 per share exceeded consensus estimates by 2.3%. However, the company's stock fell 12.1% following the results. The decline came after Equifax issued third-quarter revenue guidance of $1.70 billion, missing analyst estimates by 1%. The company reaffirmed its full-year revenue guidance of $6.75 billion and maintained its adjusted earnings per share forecast of $8.54 at the midpoint. Operating margin declined to 18.5% from 20.2% in the prior-year quarter. Equifax's Workforce Solutions segment grew 6.9% whilst its US Information Solutions division expanded 12.9% over the past two years.

Congruit Credit
Jul 21st, 2026
Congruit Credit partners with Equifax to expand access to modern credit intelligence.

Congruit Credit partners with Equifax to expand access to modern credit intelligence. Lenders today face a growing challenge: evaluating a consumer's true creditworthiness and risk amidst economic volatility and evolving financing options. As consumer financial behavior continues to evolve, lenders are increasingly seeking broader data sources and more dynamic insights to better evaluate risk, improve portfolio performance, and responsibly expand access to credit. To help meet that need, Congruit Credit has entered a new partnership with Equifax to integrate Equifax consumer credit data with Congruit's real-time, behavior-based credit intelligence and consortium-style payment data. This collaboration provides lenders with a more complete view of consumer financial behavior and delivers solutions designed for the realities of modern underwriting. The combination of these powerful datasets will support lenders across installment lending, buy now, pay later (BNPL), and unsecured credit markets, delivering solutions aimed at improving risk assessment, accelerating decisioning, and responsibly expanding access to credit for underserved, thin-file, and non-prime consumers. Congruit will deliver blended credit reporting solutions, behavior-based attributes derived from payment and alternative data, and analytics designed to help lenders make faster and more informed underwriting decisions. By incorporating real-time financial behavior and broader alternative data signals, lenders will have improved visibility beyond traditional credit files alone. "Congruit Credit was built to help lenders better understand consumers through the lens of real financial behavior" said Tim Ranney, Founder and CEO of Congruit Credit. "By partnering with Equifax, we can accelerate the delivery of differentiated data and analytics that help lenders make smarter decisions, improve portfolio performance, and serve more consumers with confidence." "Lenders continue to look for more predictive data, faster access to insight, and analytics that improve decisioning without adding operational friction," said Anna Fisher, Vice President of Alternative Finance at Equifax. "This partnership reflects a shared commitment to helping lenders expand visibility, strengthen underwriting strategies, and better serve today's evolving consumer credit market." The integration is gaining early traction as Congruit works with initial lenders evaluating and adopting the expanded solution. By combining traditional consumer credit data with Congruit's behavior-based insights, these organizations are exploring new ways to strengthen underwriting decisions, improve portfolio performance, and responsibly expand access to credit. The partnership reflects broader industry momentum around alternative and behavior-based data, particularly as lenders seek more adaptive approaches to evaluating consumer risk and identifying opportunities for responsible growth. Congruit and Equifax are committed to supporting lenders in responsibly extending access to credit for more consumers.

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