Sr. Data Scientist

Key Responsibilities: • Lead the design and development of machine learning models for anomaly detection and predictive analytics • Train, evaluate, and optimize ML models for performance and scalability • Partner with engineering, architecture, and project management teams to deliver data-driven solutions • Provide technical leadership and mentorship to junior team members • Contribute to the evaluation and implementation of AI-driven monitoring tools • Work across large-scale database environments to extract, transform, and analyze data • Support both on-prem and cloud-based data platforms • Help establish and maintain best practices and development standards Required Qualifications • 10+ years of experience • Experience using Database technologies on a daily basis (e.g., Oracle, SQL Server, or similar) • Strong experience with machine learning (ML) and artificial intelligence (AI) • Familiarity with cloud-based AI tools (e.g., AWS Bedrock or similar platforms) • Experience working with infrastructure, servers, and networking concepts • Hands-on experience with anomaly detection and predictive analytics • Proven experience building and training ML models in production environments • Excellent communication skills with the ability to explain complex concepts clearly Preferred Qualifications • Experience working in large-scale enterprise environments • Exposure to data warehousing solutions such as Amazon Redshift • Experience with additional databases such as MongoDB, Teradata, or Redis • Background supporting or partnering with DBA or application development teams