AI-Data Scientist (206790)

Job Title: AI-Data Scientist Client Location: Lone Tree, Co, Austin TX, Westlake, TX Starting: 01/26/2026 Pay Comments: Minimum Pay (per hour): 63.60 Maximum Pay (per hour): 70.67 Hours: Full-time Duration: 6 months potential for extension or full time role Job Description: Imagine shaping the future of a vast technological ecosystem, where your expertise in AI and data science directly informs critical architectural decisions and drives innovation. This pivotal role offers a unique opportunity to apply cutting-edge analytics to optimize a crucial API portfolio, ensuring its efficiency and predicting the success of new developments, thereby empowering engineering teams with intelligent, data-driven insights. • • About Our Client • • Aquent is proud to partner with a forward-thinking leader in the financial services sector, an organization at the forefront of technological innovation. Our client is committed to leveraging advanced analytics and artificial intelligence to enhance its digital infrastructure, drive strategic decisions, and deliver unparalleled experiences. They foster an environment where groundbreaking ideas are encouraged, and impactful contributions are celebrated. • • The Opportunity • • As a key contributor, you will be instrumental in transforming how our client approaches its extensive digital service framework. This is more than a data science role; it's an opportunity to pioneer the application of AI in architectural optimization, directly influencing the efficiency, scalability, and future direction of critical systems. Your work will provide the analytical backbone for strategic decision-making, delivering predictive insights that empower development teams and elevate the overall developer experience. You will play a vital role in integrating AI-grounded feedback into the development lifecycle, fostering a culture of continuous improvement and innovation. • • What You'll Do • • • 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. • • What You'll Bring • • • • Must-Have Qualifications: • • • 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. • • Nice-to-Have Qualifications: • • • Familiarity with API and microservice architecture patterns, providing a valuable understanding of application design principles.