Data Scientist

Responsibilities: Partner with key stakeholders to understand needs, applying knowledge of data structures, analytics, algorithms/models, and core computer science to prepare datasets and develop, test, and enhance tools for Global Data & Analytics teams. Analyze and prepare complex and new data sources, assembling data from standard and emerging sources for analytical use. Work on moderate complexity tasks across multiple business and analytical domains, including predictive models, risk assessments, fraud detection, and recommendation engines. Develop deployable solutions with support from more senior resources. Package, summarize, and visualize analytical findings and results for management audiences. Evaluate the work of peer and/or junior data scientists to help ensure high-quality solutions. Conduct A/B testing to determine which techniques and algorithms perform best. UseGoogle Cloud Platform (GCP)technologies and stay current on cloud advancements to recommend optimization and automation improvements, including agentic workflows. Collaborate with regional and global teams to share insights, standardize workflows, and adopt best practices.

Requirements: BS degreein a STEM major or equivalent discipline (Mathematics, Statistics, or Computer Science preferred). 2 to 5 yearsof experience in a related analytical role, including experience designing and developing predictive models. Cloud certification strongly preferred. Core tech:strong proficiency inPythonandSQL, with practical experience writing utility scripts. Cloud infrastructure:understanding of cloud computing concepts, with hands-on experience inGCP(or a similar cloud environment). Data modeling:experience transforming unstructured/structured data into optimized models, troubleshooting pipeline bottlenecks, and ensuring data readiness. Version control:solid experience withGit. TechnologiesPython, SQL Google Cloud Platform (GCP), Google BigQuery, BigQuery, BigTable Dataflow PySpark/Scala Git BenefitsComprehensive compensation and healthcare packages 401k matching Paid time off Organizational growth potential through anonline learning platformwith guided career tracks What could set you apartMaster's degree or higher in Mathematics, Computer Science, Engineering, Operations Research, Statistics, or a related discipline (strongly preferred) Knowledge and experience withData Engineering Exposure to credit/financial data products, or prior project/academic experience withEntity Resolutionand identity matching concepts Hands-on experience withGoogle BigQuery , BigTable , Dataflow, or big data processing frameworks likePySpark/Scala Experience developingMachine Learningalgorithms for production systems DevOps basics and exposure toCI/CDintegration workflows Ability to communicate and present effectively to all levels