Senior Data Scientist

The Senior Data Scientist will be engaged in data science-related research and software application development and engineering duties related to AI Datacenter technology and autonomous platform to provide an unprecedented visibility and operational efficiency and into the user experience. The role will collaborate with other engineers to build the next generation of autonomous Datacenter networks leveraging big data and predictive models.

Requirements

• Design and implement machine learning solutions to process terabytes of streaming data to detect anomalies in DC networks of customers, predict problems and future trends, provide Root Cause Analysis (RCA) and classify them in real-time
• Solid statistics and math background, good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests
• Excellent Communication Skills to articulate observations and use cases with PM and network domain experts who are not experienced in AI/ML through data visualization tool
• Have done time series data analysis, forecasting and correlation is preferrable
• Have utilized latest AI/ML techniques, such as Neural Networks, Transformer, etc. for time series data or interested to explore these techniques for time series data
• Analyze feature requirements from product manager, collaborate with engineers and data scientists to design the solutions
• Troubleshoot production environment and customer reported issues
• Utilize analytical and programming skills and open-source systems, such as Hadoop, Hive, Spark, Elasticsearch, Redis, etc. develop data processing pipeline required efficacy and latency
• Require good knowledge and experience of the big data tool sets and techniques of distributed storage and computation engine
• Require the experience to develop the reusable and highly scalable data processing component
• Require good knowledge and experience to work with cloud based CICD tools and cloud devops teams to collect stats and create monitors for our data processing pipelines
• Require good understanding of MCPs and Agentic frameworks

Benefits

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion