As a Senior Data Scientist at Datonomy Solutions, you'll leverage your expertise in graph analytics to drive impactful business decisions. This role is perfect for someone who enjoys working with advanced data platforms and collaborating with cross-functional teams.
At Datonomy Solutions, the Data Scientist role focuses on utilizing TigerGraph to develop and implement graph-based analytics solutions. You'll work closely with data scientists, AI engineers, and business teams to translate complex graph insights into actionable business strategies. This position is ideal for someone with a strong background in machine learning and graph analytics, who is eager to make a significant impact in a dynamic environment.
Your day-to-day responsibilities will include leading the design and deployment of enterprise-scale graph data platforms. You'll be hands-on in managing the infrastructure, ensuring operational resilience, and optimizing performance. This role requires a deep understanding of graph data modelling and analytics, as well as the ability to work with cloud-native technologies.
Key responsibilities include: • Designing and engineering graph data platforms • Collaborating with cross-functional teams to drive insights • Managing data ingestion and performance optimization • Ensuring operational resilience of the analytics solutions
To succeed in this role, you should have at least five years of experience in data science, with a strong focus on graph analytics and machine learning. Familiarity with Kubernetes and cloud deployment will be advantageous. If you are passionate about leveraging data to solve complex problems and drive business success, this role is for you.
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