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Ulloa, Heredia, Costa Rica
Remote only
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Team Overview
The Data Science and Analytics team develops advanced analytics and artificial intelligence solutions that address complex business challenges and enable data-driven decision-making across the organization. The team translates business strategy into scalable analytics solutions designed to generate measurable impact. Operating in a cross-functional environment, the team partners closely with Product, Engineering, and business stakeholders. This role reports to the Senior Manager, Data Science and Analytics.

This is a remote position which may require occasional in-person attendance at work-related events at the discretion of management.Role Overview And Core Responsibilities
Lead the design and delivery of complex machine learning, advanced analytics, and artificial intelligence solutions that address strategic business challenges and deliver measurable value.
Establish technical standards, reusable best practices, and solution-design approaches that improve the quality, scalability, and performance of data science initiatives.
Provide technical direction across multiple projects, helping teams translate business requirements into scalable analytical and machine learning solutions.
Lead the end-to-end delivery of strategic initiatives, from problem definition and analytical design through production implementation and ongoing improvement.
Evaluate emerging technologies and identify opportunities to strengthen automation, analytical capabilities, and the responsible adoption of new solutions.
Partner with Product, Engineering, and business leaders to align technical solutions with business priorities and support cross-functional program execution.
Serve as a trusted technical advisor by presenting analytical findings, business impact, and recommendations to technical and nontechnical audiences.
Mentor and coach team members, lead knowledge-sharing activities, and contribute technical expertise to hiring efforts.
Champion innovation, accountability, and continuous improvement while influencing technical and strategic decisions across teams and business functions.
Required Knowledge And Experiences
Bachelor’s degree or higher in a quantitative field, or equivalent knowledge and experience relevant to data science, machine learning, or advanced analytics.
Four to six years of experience in data science, machine learning, advanced analytics, or a related discipline.
Experience leading complex analytics or machine learning initiatives through design, development, implementation, and delivery.
Experience providing technical guidance, mentoring colleagues, and supporting knowledge development across a team.
Experience translating complex business challenges into analytical solutions and communicating recommendations to diverse stakeholders.
Required Technical Skills
Advanced knowledge of machine learning and statistical modeling, including the ability to select and apply appropriate approaches to complex business problems.
Advanced proficiency with Python and Structured Query Language (SQL) for data analysis, modeling, and solution development.
Experience using BigQuery and modern machine learning tools or ecosystems.
Experience working with cloud-based artificial intelligence and data platforms.
Experience developing scalable, production-grade machine learning solutions with appropriate quality and performance standards.
We’re also looking for the preferred skills below. Whether you are proficient or could use some brushing up, we’re happy to support your career development and growth in:
Master’s degree or doctorate in a quantitative or related field.
Experience with cloud-based artificial intelligence and analytics platforms.
Experience supporting enterprise-scale artificial intelligence or machine learning initiatives.
Knowledge or experience in fraud, marketing, or communication solutions.
TransUnion Overview:
At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.
Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.
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