Data Scientist II - Fraud Reporting

Independently perform sophisticated data analytics using classical econometrics, machine learning, neural networks, and natural language processing on structured and unstructured data Produce compelling data visualizations to communicate insights and influence stakeholder outcomes Own end-to-end data science solution design, technical delivery, and measurable business outcomes Engage stakeholders to identify business objectives and scope solution requirements Write, document, and deploy custom code in Python, SAS, R, and other environments to create predictive analytics applications Use, maintain, share, and collaborate through Truist internal code repositories Research and advocate adoption of emerging data science methods and technologies Apply sound judgment and promote risk management throughout design, development, and deployment Partner with cross-functional teams on data usage rules, data governance, and analytics capabilities Provide actionable insights to improve business outcomes and minimize risk Consult with business leaders and stakeholders on leveraging analytics insights and developing analytics strategies Requirements Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training Understanding of statistical methods, classical statistics, probability theory, econometrics, time-series, and primary statistical tests Familiarity with linear algebra for optimization, complex matrix operations, eigenvalue decompositions, and principal components Working knowledge of calculus/differential equations and understanding of stochastic processes Understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment Strong familiarity with data extraction in SQL, JQuery, and other environments Working knowledge of Hadoop, Pig, Hive, NoSQL, and/or Spark Experience managing multiple projects with tight deadlines in a collaborative environment English language fluency required Preferred: Master's degree or PhD in a quantitative field Preferred: Previous banking or fintech industry experience Truist will not sponsor work visas, employment authorization, or immigration-related support for this position Core Competencies Demonstrates expertise in data analytics, including classical econometrics, machine learning, and natural language processing, while effectively communicating insights through data visualizations. Proficient in Python, SAS, R, and SQL, with a strong understanding of statistical methods and data governance. Highest-signal resume keywords Data Analytics Machine Learning Python Programming Statistical Methods Data Visualization ATS Optimization Keywords Hard Skills Econometrics Natural Language Processing Predictive Analytics Data Cleansing Statistical Tests Linear Algebra Calculus SQL Hadoop Data Governance Soft Skills Stakeholder Engagement Collaboration Project Management Communication Industry Keywords Banking Fintech Quantitative Analysis Tools & Technologies SAS R Truist Code Repositories JQuery NoSQL Spark #J-18808-Ljbffr Jobtailor