Senior Consultant, Data Science and Analytics

🕒 July 13

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TransUnion

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

💼 Consulting

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2018-04

Consulting • Marketing • Logistics

TransUnion is a global credit information and insights company based in the United States. It offers a range of products and services related to credit monitoring, identity theft protection, and credit report management, including free annual credit reports, fraud alerts, and credit freezing services. TransUnion uses the VantageScore® 3. 0 model to provide credit scores, although lenders may use different models to assess creditworthiness. It provides powerful tools for consumers to manage and understand their credit health, such as credit monitoring with alerts and ID theft insurance. TransUnion serves various industries, including financial services, automotive, and media, and is committed to financial inclusion, data security, and consumer privacy. It also provides business solutions for credit portfolio management, customer acquisition, debt recovery, and fraud prevention.

📋 Description

• Drive development, enhancement, and maintenance of TransUnion's proprietary Insurance Analytics platform, InsureR • Design, develop, and optimize analytic applications using C++, Python, R, SQL, Hive, Spark, and related technologies • Contribute to front-end solutions and user experience enhancements • Support regional analytic environments by troubleshooting technical issues and ensuring platform stability and performance • Collaborate with Global Technology teams on high-performance computing infrastructure and analytic frameworks • Partner with business stakeholders and regional teams to identify opportunities for analytic products, services, and data-driven strategies • Contribute to machine learning, scientific computing, and advanced analytics research and innovation initiatives • Serve as a subject matter expert for enterprise-wide projects • Mentor junior team members and support knowledge sharing • Participate in interviewing and evaluating prospective candidates

🎯 Requirements

• Master's degree in Statistics, Economics, Applied Mathematics, Financial Mathematics, Computer Science, Engineering, Operations Research, or another quantitative discipline with 3+ years of relevant experience; or Bachelor's degree with 5+ years of relevant professional experience • Experience developing advanced analytics, machine learning, or mathematical programming solutions within a production environment • Strong understanding of numerical methods, optimization techniques, scientific computing, and machine learning concepts • Ability to manage multiple projects while collaborating across cross-functional teams • Experience in financial services, insurance, fraud, risk, or digital marketing is highly valued • Strong business acumen and ability to translate technical findings into actionable insights • Excellent written and verbal communication skills in English and Spanish • Ability to travel up to 10-20% as business needs require • Advanced programming experience in C++ • Strong proficiency in Python and/or R for machine learning, statistical modeling, and data science development • Advanced SQL skills and experience with Hadoop, Spark, and Hive • Experience integrating XGBoost, LightGBM, or H2O into enterprise analytic solutions • Experience supporting or developing applications within High Performance Computing (HPC) environments • Familiarity with big data architecture, distributed computing, and modern data engineering practices

🏖️ Benefits

• Remote work arrangement • Work/life flexibility • Professional development and career growth support • Resources for global team collaboration • Opportunity to work with pioneering products and cutting-edge technology