AI-Data Scientist

• Conduct deep data analysis using advanced statistical techniques to uncover patterns, generate actionable insights, and forecast critical outcomes relevant to business objectives
• Translate intricate software architecture challenges into robust, high-level AI and analytical solutions
• Effectively communicate complex findings through compelling reports, data visualizations, and storytelling, engaging both technical and non-technical audiences
• Architect and integrate diverse data sources, including design-time and run-time analytics, to fuel the development of cutting-edge predictive and generative AI models
• Design, build, train, and rigorously validate predictive machine learning models and generative AI solutions, primarily utilizing Python, R, and SQL
• Develop and optimize custom data pipelines for efficient ingestion, embedding generation, and indexing within vector databases

• Expert-level proficiency in Python, R, and SQL for comprehensive data preparation, querying, and sophisticated model development
• Demonstrated proficiency with leading data visualization tools such as Tableau and PowerBI to craft clear and impactful insights
• Hands-on experience with cloud-based AI/ML platforms like GCP Vertex AI, coupled with expertise in BigQuery, TensorFlow, and PyTorch
• Practical experience with vector databases, such as Vertex AI Vector Search or Cloud SQL, for advanced data management
• Exceptional analytical acumen, meticulous attention to detail, and a rigorous, methodical approach to problem-solving

Familiarity with API and microservice architecture patterns, providing a valuable understanding of application design principles

• subsidized health, vision, and dental plans
• paid sick leave
• retirement plans with a match