Lead the Global Data Science & Analytics Product Development team at TransUnion. Build data products and analytic solutions supporting TransUnion's Fraud roadmap.
Responsibilities
Act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team
Requires data science expertise and resources necessary to build market-leading data products and analytic solutions in support of TransUnion’s Fraud roadmap
Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way to achieve objectives defined by Global Solutions stakeholders
Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development
Partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions
Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products
Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Fraud roadmap
Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms
Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting
Attract and nurture leading data science talent, creating opportunities for continual professional growth
Requirements
10+ years in data science and analytics
5+ years in progressively more challenging team management and leadership roles
Master’s or PhD degree in statistics, applied mathematics, quantitative economics/finance, engineering, operations research, physical sciences, computer science or another highly quantitative field strongly preferred
Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java)
experience with modern cloud computing platforms (AWS, GCP, OneTru)
high level of familiarity with Microsoft Office tools
Deep, hands-on expertise applying AI (ML, agentic, LLMs), statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, adversarial modeling, financial crimes, and anomaly detection
Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving
Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing
Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners
Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment
Benefits
flexible time off for exempt associates
paid time off for non-exempt associates
up to 12 paid holidays per year
health benefits (including medical, dental, and vision plan options and health spending accounts)
mental health support
disability benefits
up to 12 weeks of paid parental leave
adoption assistance
fertility planning coverage
legal benefits
long-term care insurance
commuter benefits
tuition reimbursement
charity gift matching
employee stock purchase plan
401(k) retirement savings with employer match
access to TransUnion’s Employee Resource Groups
Job title
Senior Director, Data Science Product Development – Fraud Solutions
Data Scientist developing analytical and AI solutions for Vibra Energia business impact. Engaging in data ingestion, processing, and machine learning product development.
ML Engineer/Data Scientist developing technology - based solutions for clients in Greece's diverse industry sectors. Collaborating with teams to implement and optimize machine learning models and data ecosystems.
Senior Data Scientist conducting quantitative modeling and analytics of financial crimes leveraging technologies at KeyBank. Collaborating on compliance needs and model building with compliance and risk partners.
Head of Analytics & Data Science uniting data teams and transforming analytics production at Virgin. Setting strategy, building capabilities, and aligning business goals.
Lead Data Scientist applying machine learning expertise to drive AI initiatives at Securian Financial. Collaborating across teams to advance enterprise AI and analytics capabilities with a focus on innovation.
Data Scientist at Securian Financial leveraging data to drive business outcomes and working with stakeholders. Utilizing various analysis and modeling techniques to solve complex business problems.
Senior Data Scientist developing data science solutions, driving mission - critical decisions at Navy Federal. Collaborating closely on model validations and remediation activities.
Senior Data Scientist supporting analytics for Ford Customer Service. Requires strong skills in data visualization, statistics, and machine learning with a focus on service operations.
Senior Data Scientist leading data - driven CRM strategies for user engagement at Mercari. Collaborating across teams to enhance platform performance and optimize user experience.
Battery Trading Data Scientist at Octopus Energy Trading. Analyzing market dynamics and building automated trading algorithms for battery assets in a flexible energy system.