Data Scientist - Fraud - TAMPA

- Bachelors degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; - 4 years of experience in statistics, mathematics, quantitative analytics, or related field may substitute for degree. - Minimum of 2 years of experience in predictive analytics or data analysis OR an advanced degree (e.g., Masters, PhD) in a relevant field. - Experience in training and validating statistical and machine learning models. - Proficient in at least one scripting language (e.g., Python, R) for statistical analyses or AI/ML model development. - Capability to write clear and well-documented code for transparency. - Experience in querying and preprocessing data from structured/unstructured databases via languages like SQL, HQL, NoSQL, etc. - Familiarity with structured, semi-structured, and unstructured data formats (e.g., delimited numeric data, JSON/XML, text documents, images). - Knowledge of ad-hoc analytics using various statistical methods. - Understanding of supervised modeling concepts (e.g., regression, decision trees) and unsupervised modeling techniques (e.g., clustering algorithms). - Strong communication skills to convey analytical results to non-technical stakeholders.