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 complex data structures and have a passion for machine learning.
At Datonomy Solutions, the Senior Data Scientist plays 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. Your expertise in TigerGraph and graph analytics will be essential in leading the design and deployment of advanced analytics solutions across the organization.
In this role, you will be responsible for the engineering and operation of enterprise-scale graph data platforms. This includes hands-on work with cloud-native deployments and managing AKS Kubernetes-based infrastructure. You will also focus on data ingestion, performance optimization, and ensuring operational resilience, making your role both technical and strategic.
The ideal candidate for this position is someone with a strong background in machine learning and predictive modeling, particularly in the context of graph data. You should have at least five years of experience in data science, with a proven track record in anomaly and fraud detection. Your ability to collaborate with various teams and translate complex data insights into business solutions will be key to your success in this role.
If you thrive in a fast-paced, innovative environment and are passionate about leveraging data to drive business success, this position is for you. Join us at Datonomy Solutions and be part of a team that values collaboration and results-driven approaches.
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