Data Science & Analytics Sr. Director, Argus

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What We'll Bring:

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:

• 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%.

We'd Love to See:

• 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

Impact You'll Make:

The DSA Argus leader drives core components of TransUnion Argus strategy as part of the DSA Financial Services Consulting department. This leader will manage a full capability stack, and in close collaboration with matrix partners across multiple business units they will:

• 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 analyt