Posted:3 months ago|
Platform:
Work from Office
Full Time
In this position, you will play the pivotal role of developing software programs, algorithms, and automated processes to identify meaningful insights for operation from large data and metadata. You ll work with our customers, engineering and internal stakeholders to gain operational insight across SaaS, PaaS and IaaS. Other responsibilities include: Increasing ops efficiency by reducing noise and enriching incident data Increase uptime of system by predicting failure and taking proactive action Reliability Engineering, Performance Analytics and Capacity Forecasting Lead and participate in planning meetings and provide leadership on direction of products Communicate vision and goals of existing and new products to both internal stakeholders, the analyst community, and customers Influence engineering organizations to focus on new feature innovation Work closely with the SaaS and Platform teams and be their internal and external champion Define, implement, and analyze success metrics Minimum Qualifications: Bachelors Degree in Computer Science, Engineering, Statistics or a related discipline 4+ years of experience as Data scientist or ML engineer Attention to detail proven ability to manage multiple competing priorities, simultaneously Ability to think both strategically and tactically in a high-energy, fast paced environment Preferred Qualifications: MS in Computer Science or Statistics Experience in data science or related technology Experience in designing and launching Cloud products
Oracle
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