As a Senior Data Scientist at Datonomy Solutions, you'll leverage your expertise in graph analytics to drive impactful business outcomes. This role is ideal for someone who enjoys working collaboratively with diverse teams and has a strong foundation in machine learning and data modelling.
At Datonomy Solutions, the Senior Data Scientist will play a crucial role in designing and implementing graph data platforms that drive business insights. You will work closely with data scientists, AI engineers, and business teams to translate complex graph data into actionable strategies. Your expertise in TigerGraph and graph analytics will be essential in developing solutions that enhance operational efficiency and support decision-making processes.
In this role, you will be responsible for the end-to-end lifecycle of graph-based analytics solutions. This includes: • Leading the design and engineering of graph data models • Overseeing the deployment and operation of cloud-native infrastructure • Ensuring data ingestion processes are efficient and effective • Optimising performance and maintaining operational resilience
The ideal candidate will have a strong background in machine learning, predictive modelling, and anomaly detection, with at least five years of experience in data science. You should be comfortable working in a collaborative environment and have a passion for leveraging data to solve complex problems. This position is not suitable for entry-level candidates, as it requires advanced technical skills and a proven track record in the field.
If you thrive in an innovative and data-driven atmosphere, and are eager to make a significant impact through your work, this role could be a perfect fit for you.
You'll be taken to the original listing on PNet to apply.