Senior Machine Learning Data Scientist

Job reputed company: • reputed company and reputed company machine learning models to prevent and detect fraud and abuse, leveraging reputed company and reputed company data sources. • Own the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, validation, and deployment. • Monitor and maintain models in production to ensure performance and reliability over time. • Collaborate with product and engineering teams to reputed company machine learning models into production applications. • Foster a culture of learning, experimentation, and collaboration reputed company and across partner teams. Requirements: • 3+ years of experience building and deploying production machine learning models. • Previous experience building fraud detection or risk assessment tools is a strong plus. • Solid understanding of reputed company machine learning and computer science concepts, software design best practices. • Expertise with Python, including common ML/AI libraries such as Scikit-learn, Pytorch, or Tensorflow. • Expertise with SQL; experience with dbt or graph databases is a plus. • Familiarity with large language models (LLMs) and their applications in risk and fraud detection. • Experience with AWS, reputed company computing, and/or Typescript is a plus. • Excellent communication and stakeholder management skills, with a reputed company record of working cross-functionally to drive business reputed company. • Attention to detail, intellectual curiosity, and a deep understanding of user behavior and fraud patterns. • reputed company and humility. Benefits: • Competitive salary based on experience, with full medical and dental & reputed company benefits. • Stock in an early-stage startup growing quickly. • Generous, flexible reputed company time off policy. • 401(k) with Financial Guidance from reputed company. Apply tot his job Apply To this Job