As a Data Scientist at Datonomy Solutions, you'll work closely with various teams to turn complex graph data into actionable business insights. This role is ideal for someone with a strong background in graph analytics and AI, looking to make a significant impact in areas like fraud detection and compliance.
At Datonomy Solutions, the Data Scientist role is pivotal in transforming graph insights into tangible business outcomes. You will collaborate with data scientists, AI engineers, and business teams to develop and implement graph-enhanced AI solutions. This involves working with both structured and unstructured data to create relationship-centric models that drive decision-making in critical areas such as fraud detection and compliance.
Your day-to-day responsibilities will include identifying and prioritizing high-value graph use cases, providing technical leadership in graph analytics, and supporting various teams in delivering effective solutions. You will also play a key role in shaping the graph-driven AI strategy, ensuring that the organization stays at the forefront of technology.
This position is best suited for experienced professionals who have a strong grasp of graph machine learning and AI technologies. You should be comfortable working in a fast-paced environment and possess the ability to translate complex data into actionable insights. Key requirements include expertise in TigerGraph, Kubernetes, and a solid understanding of graph analytics.
If you are passionate about using data to solve real-world problems and enjoy working in a collaborative setting, this role could be a great fit for you. Join us in making a significant impact through innovative data solutions.
You'll be taken to the original listing on PNet to apply.