As a Data Scientist at Datonomy Solutions, you'll work closely with various teams to turn complex data into actionable insights. This role is perfect for someone with a strong background in graph analytics and machine learning, looking to make a significant impact in areas like fraud detection and customer intelligence.
At Datonomy Solutions, the Data Scientist role is pivotal in leveraging graph analytics to drive business outcomes. You will collaborate with data scientists, AI engineers, and business teams to transform complex data insights into practical applications. Your work will focus on high-impact areas such as fraud detection, financial crime, and customer intelligence, ensuring that the solutions you develop are both effective and measurable.
In this role, you will enable graph-enhanced AI solutions by integrating structured and unstructured data through relationship-centric models. Your responsibilities will include supporting various teams in identifying and prioritizing graph use cases that deliver significant value. You will also provide technical and thought leadership in graph analytics and machine learning, particularly using the TigerGraph platform.
The ideal candidate for this position has a strong background in graph analytics and machine learning, with at least five years of experience. You should be comfortable working in a collaborative environment and have a passion for turning data into actionable insights. Familiarity with Kubernetes and a deep understanding of AI strategies will be essential for success in this role.
If you are looking to make a meaningful impact in a dynamic and innovative team, this position could be a great fit for you. Your expertise will not only contribute to the company's goals but also help shape the future of graph-driven AI solutions.
You'll be taken to the original listing on PNet to apply.