Full-Time

Senior Director of Data Science and Analytics

Argus

Posted on 8/27/2025

TransUnion

TransUnion

5,001-10,000 employees

Credit reporting, risk analytics, fraud detection

Compensation Overview

$166.8k - $250k/yr

+ Bonus + Long-term Incentives

Company Historically Provides H1B Sponsorship

Boca Raton, FL, USA + 4 more

More locations: Chicago, IL, USA | Alpharetta, GA, USA | Reston, VA, USA | White Plains, NY, USA

Hybrid

This is a hybrid position requiring in-person work at an assigned TU office location for a minimum of two days a week.

Category
Data & Analytics (1)
Required Skills
Python
Data Science
R
Machine Learning
Data Analysis
Requirements
  • 10+ years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry
  • 5+ years in team management and leadership roles with increasing complexity and responsibility
  • Master’s or PhD degree in statistics, data science, business analytics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence
  • Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting
  • Proficiency in one or more analytic languages (R, Python)
  • Proven ability to architect and engineer machine-learning pipelines with online / real-time features
  • Current knowledge of and strong interest in consumer credit trends and dynamics. Ability to speak authoritatively with customers on relevant topics
  • Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches
  • An excellent oral and written communicator with highly technical and non-technical TU leaders, partners, and customers. A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization. Substantial prior experience making formal presentations to large and senior-level groups, as well as in smaller and less formal settings
  • Availability to travel up to 25%.
Responsibilities
  • Lead the development of models and solutions using machine learning, statistical analysis, mathematical modeling, and artificial intelligence techniques to predict and measure outcomes and consequences.
  • Establish and enforce best practices in the design and development practices for the aforementioned models, including rigorous management of a robust, scalable codebase, collaboratively with other DSA leaders.
  • Proactively participate in the development of operating policies and procedures of significant scope and complexity to promote operational excellence across Data Science & Analytics. Advocate for productivity-enhancing operating procedures and technologies.
  • Cultivate and maintain strategic partnerships and customer relationships, including via actionable, data science consulting that spans the lifecycle from issue discovery through solution development, deployment, and governance. Support Sales and Argus Advisory Services in demonstrating efficacy and value, arming client-facing associates with tools to help drive adoption and revenue.
  • Work with the Solutions organization to propose, prioritize, design, develop and take to market new products, including generic scores, derived from Argus consortium data.
  • Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of use cases, maintaining a complete data dictionary, and publishing relevant insights.
  • Lead the design, management and automated production of custom insights for Argus consortium members.
  • Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors’ offerings.
  • Maintain knowledge and ensure compliance with regulatory and contractual requirements pursuant to minimizing legal risks in the management of Argus consortium data.
  • Contribute novel methods and research findings to TransUnion’s growing intellectual property (IP) portfolio, potentially including patents.
  • Assemble, maintain, and lead a geographically dispersed, high-performing team with specialized domain and technical expertise in accordance with DSA global standards. Eliminate constraints to cross-team collaboration and integration. Promote the cross-team propagation of successful ideas and approaches.
  • Evangelize the team’s unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing.
  • Advise sponsors and stakeholders on the capabilities and potential value of proposed vendors, partners, and acquisition targets, including commercial and open-source software tools and frameworks.
Desired Qualifications
  • Consultative approach to decision-making, ability to gather and synthesize multiple perspectives
  • Aptitude and passion for design of highly effective processes
  • Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code
  • Experience manipulating large datasets in SQL
  • Experience with big data frameworks (Spark, Redshift, BigQuery, Hadoop, Ab Initio)
  • Experience with cloud computing (AWS, GCP)
  • Experience serving highly regulated industries
  • Familiarity with credit bureau data and business practices

TransUnion is a global information and insights company. It collects and analyzes data to provide services for businesses and consumers. For business clients, it offers credit portfolio management, marketing solutions, and fraud detection to help manage risk and make informed decisions. For consumers, it provides tools to monitor personal credit, including credit reports and scores. The platform supports enterprise use by enabling storage, identity resolution, and protection for building traditional and generative AI models. TransUnion generates revenue through three segments: U.S. Markets, International, and Consumer Interactive. Its goal is to help customers understand and manage credit risk, prevent fraud, and derive actionable insights from large data assets.

Company Size

5,001-10,000

Company Stage

IPO

Headquarters

Chicago, Illinois

Founded

1968

Simplify Jobs

Simplify's Take

What believers are saying

  • AI Analytics Orchestrator Agent should compress credit analytics from weeks to minutes.
  • Digital Business Profile targets small businesses across 80-plus platforms with recurring subscription revenue.
  • The Algebrik partnership embeds TransUnion data directly into lending workflows.

What critics are saying

  • VantageScore 4.0 pricing at $0.99 risks margin compression in mortgage scoring.
  • Google dependence exposes TransUnion to platform policy changes and pricing pressure.
  • Privacy regulation and cybersecurity incidents threaten data monetization and customer trust.

What makes TransUnion unique

  • TransUnion rebranded seven B2B lines in February 2023, centered on TruVision and TruIQ.
  • Its OneTru platform unifies identity, fraud, analytics, and audience products across markets.
  • Google integrations make TransUnion the only MTA provider measuring YouTube in one framework.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Mental Health Support

Disability Insurance

Paid Parental Leave

Adoption Assistance

Fertility Treatment Support

Legal Services

Long-Term Care Insurance

Commuter Benefits

Tuition Reimbursement

Charity Gift Matching

Employee Stock Purchase Plan

401(k) Retirement Plan

401(k) Company Match

Company News

Yahoo Finance
Apr 9th, 2026
TransUnion beats Q4 revenue estimates by 3.3% as data services sector shows strength

TransUnion reported fourth-quarter revenues of $1.17 billion, up 13% year on year and exceeding analysts' expectations by 3.3%. The credit bureau beat revenue estimates but missed full-year earnings per share guidance. The data and business process services sector showed strong fourth-quarter performance overall, with the 10 tracked stocks beating consensus revenue estimates by 2.9% on average. However, next quarter's revenue guidance came in 0.5% below expectations. Despite solid quarterly results, sector stocks have declined 4.9% on average since reporting earnings. TransUnion shares remained flat following its announcement and currently trade at $71.09. Chief executive Chris Cartwright said the company "finished the year strongly with results that again exceeded financial guidance.

Yahoo Finance
Mar 26th, 2026
TransUnion launches TruLookup real estate app amid 54% intrinsic discount and 17.7% YTD share price drop

TransUnion has launched TruLookup for Real Estate, a mobile-first app combining property ownership checks, fraud prevention tools and prospecting features for real estate professionals. Despite new product launches and fraud detection upgrades, TransUnion's shares have declined 17.65% year-to-date and 21.26% over one year, though three-year total shareholder returns stand at 20.25%. The stock closed at $68.62 against a fair value estimate of $94.60, suggesting a potential 53.97% discount. The company is investing in AI, machine learning and its global cloud-native OneTru platform to drive efficiency and customer retention. However, analysts note risks from tighter data privacy regulations and potential cyber incidents. TransUnion trades at 29x price-to-earnings ratio, above the 19x industry average.

PR Newswire
Mar 16th, 2026
Algebrik AI partners with TransUnion to embed credit data into AI-powered lending platform

Algebrik AI, a New York-based loan origination platform provider, has announced a strategic integration with TransUnion to embed credit and identity data directly into lending workflows. The partnership enables financial institutions using Algebrik to access TransUnion's credit scores, trended data and fraud prevention tools without additional system integrations. The collaboration aims to help credit unions, community banks and fintech lenders make faster, more inclusive lending decisions. TransUnion data is now available within Algebrik's no-code decisioning engine, allowing risk teams to deploy new underwriting strategies and evaluate thin-file borrowers more effectively. Founded to modernise loan origination technology, Algebrik offers an AI-powered, cloud-native platform that includes digital account opening, decisioning and portfolio analytics. The integration supports compliance with Fair Lending and ECOA frameworks whilst enabling scalable credit expansion.

Yahoo Finance
Mar 15th, 2026
TransUnion cuts VantageScore 4.0 price to $0.99, targeting $900M in lender and consumer savings

TransUnion has cut the price of its VantageScore 4.0 mortgage origination score to $0.99, offering it free alongside purchased FICO scores. The move aims to improve homebuyer affordability and align with Federal Housing Finance Agency efforts to increase score competition. TransUnion estimates the pricing could deliver over $900 million in potential savings for lenders and consumers. The aggressive pricing appears designed to shift mortgage credit-scoring preferences towards VantageScore 4.0 whilst enhancing TransUnion's position in housing finance policy discussions. The company recently launched its AI Analytics Orchestrator Agent, built on its OneTru platform and Google's Gemini models, connecting the mortgage pricing strategy to a broader push towards higher-value analytics services. Analysts project TransUnion revenue could reach $5.6 billion by 2028.

Yahoo Finance
Mar 5th, 2026
TransUnion launches AI Analytics Orchestrator Agent with Google Cloud to cut credit analytics from weeks to minutes

TransUnion has launched its AI Analytics Orchestrator Agent, built on its OneTru platform and powered by Google's Gemini models. The tool is designed to accelerate credit analytics for the financial services industry, reducing cycle times from weeks to hours or minutes. Currently used by internal data scientists, the Agent enables users to translate natural-language questions into production-ready analytical workflows. It integrates with TransUnion's TruIQ solutions suite and enterprise data catalog, providing transparent, step-by-step reasoning that supports auditability and governance requirements. The capability combines Google Cloud's AI technology with TransUnion's proprietary data assets and financial services expertise. In coming months, customers will gain access to the Agent for self-service analytics, expanding TransUnion's ability to deliver advanced credit intelligence with reduced resource requirements.

INACTIVE