As a Senior Data Scientist at Datonomy Solutions, you'll leverage your expertise in graph analytics to drive business outcomes. This role is ideal for those who enjoy working with advanced data platforms and collaborating with cross-functional teams.
At Datonomy Solutions, the Senior Data Scientist will play a crucial role in transforming graph insights into actionable business strategies. You will work closely with data scientists, AI engineers, and business teams to ensure that the insights derived from graph data are effectively utilized to drive measurable outcomes. This position requires a strong understanding of graph analytics and machine learning, particularly within the TigerGraph platform.
Your day-to-day responsibilities will include designing, engineering, and deploying enterprise-scale graph data platforms. You will also be involved in operational tasks such as data ingestion and performance optimization, ensuring that the systems are resilient and efficient. The role demands a hands-on approach, as you will be responsible for managing the infrastructure based on AKS Kubernetes.
This position is best suited for experienced data scientists who are passionate about advanced analytics and have a solid background in graph data modeling. You should be comfortable working in a collaborative environment and possess the ability to translate complex data insights into practical business applications. Key requirements include expertise in machine learning, predictive modeling, and a strong grasp of anomaly and fraud detection techniques.
If you are looking to make a significant impact in a data-driven organization and enjoy tackling complex challenges, this role could be a great fit for you. Your contributions will directly influence the bank's approach to data analytics and decision-making.
You'll be taken to the original listing on PNet to apply.