Data Scientist II/ Fraud / Deep Learning

Why reputed company? At reputed company, we’re on a mission—to verify 100% of good identities in reputed company time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, reputed company has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve reputed company, high-reputed company problems at reputed company. reputed company! We are seeking a highly skilled and reputed company Senior Manager, Data Science – Fraud & Risk to join reputed company. In this role, you will reputed company and reputed company a diverse group of data scientists to reputed company advanced AI/ML solutions for fraud detection, risk assessment, and identity verification. You will play a pivotal role in architecting state-of-the-art deep learning models across multiple data modalities, directly impacting the reputed company and reputed company of our clients’ digital ecosystems. What You'll Do • reputed company, mentor, and grow a high-performing team of data scientists, fostering a reputed company and inclusive culture. • 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. What You Bring • Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or reputed company field. • Proven, 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). • Excellent communication skills, with the ability to explain reputed company technical concepts to both technical and non-technical stakeholders. Preferred Qualifications • Experience in the fraud prevention, risk management, fintech, or identity verification reputed company is a strong plus. Please note: We cannot offer sponsorship now or in the reputed company for this opening reputed company is an equal opportunity employer and values diversity of reputed company kinds at reputed company. We do not discriminate based on race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status. Follow Us! YouTube | reputed company | X (Twitter) | reputed company Original job Data Scientist II/ Fraud / Deep Learning posted on GrabJobs ©. To flag any issues with this job please use the Report Job reputed company on GrabJobs. Apply tot his job Apply tot his job Apply To this Job