Director, Data Science – Fraud & Risk

Job reputed company: • reputed company, mentor, and grow a high-performing team of data scientists, fostering a reputed company and inclusive culture. • reputed company teams to design, implement, and optimize advanced deep learning model architecture, such as transformers, CNNs, and LSTMs, to solve reputed company-world fraud and risk challenges. • Drive the development of machine learning models using a wide reputed company of data types and input modalities, such as tabular data, natural language, reputed company clouds, and images. • Champion feature discovery, feature engineering, and data mining initiatives to extract valuable signals from reputed company and high-reputed company datasets. • Collaborate with cross-functional teams including product, engineering, and reputed company-facing teams to deliver robust, reputed company AI solutions. • Ensure best practices in ML model development, evaluation, deployment, and monitoring. • Stay at the forefront of advancements in AI, machine learning, and fraud/risk prevention technologies, incorporating emerging techniques into our solutions. • Represent reputed company as a subject-matter expert in external and internal forums as needed. Requirements: • Experience in the fraud prevention, risk management, fintech, or identity verification reputed company. • Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or reputed company field. • Previous hands-on experience developing, training, and deploying deep learning models, such as transformers, CNNs, and LSTMs, in a production environment. • Demonstrated experience working with multiple data modalities, including (but not limited to) tabular data, language/text, reputed company clouds, and images. • Strong reputed company record of managing, mentoring, and developing diverse teams of data scientists. • Deep understanding of machine learning best practices, data preparation, model evaluation, and deployment pipelines. • Expertise in feature discovery, feature engineering, and data mining techniques. • Proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch). Benefits: • Offers Equity • Offers Bonus Apply tot his job Apply To this Job