Vacancy expired!
At
Oracle Cloud Infrastructure (OCI),we act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world. Values are OCIs foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where youll belong and be encouraged. We offer unique opportunities for smart, hands-on engineers with the expertise and passion to solve difficult problems in distributed highly available services and virtualized infrastructure. At every level, our engineers have a significant technical and business impactdesigning and building innovative new systems to power our customers business critical applications. This role is available for theOCI Capacity Engineeringorganization. OCI Capacity Engineering is part of the larger OCI Cloud Capacity organization that manages capacity planning, purchasing, and delivery of our global cloud infrastructure. As an engineering team, we support OCIs growth by providing data, applications, and services to systematically manage the end-to-end capacity flow. Practically speaking, this means managing and interpreting large data sets, building end-to-end capacity management applications, and automating manual processes that are often stuck in Excel. Key Responsibilities:- Define and document full life cycle of data science use case development from data collection, aggregation, feature engineering, visualization, deployment, and monitoring
- Solve business, operational, and technical problems with robust and statistically sound use of rigorous scientific methodologies and creative use of algorithms using AI, machine/deep learning and predictive modelling techniques
- Build, implement, modify, and display statistical capacity forecasts based on a variety of models and parameters
- Work directly with experienced data engineers to operationalize production data sets for reliable consumption
- Make consistent use of solid verbal, interpersonal and written communication skills to carefully document findings and share results with various stakeholders
- Work effectively with global teams located in multiple geographical locations
- Actively participate as a contributor or leader in a team of data scientists and engineers
- Able to present complex analysis results to both technical and non-technical audiences.
- An advanced degree in Computer Science, Statistics, Engineering, Mathematics, or another relevant quantitative field
- 7+ years of proven track record of data mining, data analytics, and data science
- A proven track record in developing, innovating, and applying advanced algorithms to address practical problems and in building new predictive analytic products
- Practical experience in feature engineering, feature evaluation, feature selection and automation of such tasks, model interpretation and visualization
- Domain expertise in one or more of IT operations, Software Development, or digital marketing, and manufacturing
- Proficiency with several years experience in more than one of Python, R, Java, C, and Scala
- Working experience in PySpark, PyTorch, TensorFlow and Keras
- Experience with big data processing engines like Spark, Kafka is a plus
- Proficiency in using query languages such as SQL and its adaptations
- Experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies such as Map Reduce, Spark, HBase, etc., and associated schemas
- Working experience in data warehousing, data integration, and visualization
- Experience with application of Agile and iterative development practices and DevOps processes
- Lead, Influence, and guide other data scientists
- Team player with great communication and presentation skills.
- Own and drive cross-functional initiatives to improve data quality and accuracy
- Create tooling, instrumentation, and visualization to display business metrics and outcomes for executive stakeholders
Vacancy expired!