Oracle's OCI Data Science is a high-quality cloud service that enables enterprise data science teams to build, train, deploy, and manage models on the Oracle Cloud. It provides a workbench to centralize, organize, and manage data science work; access to cutting-edge Oracle Cloud compute and data sources; and ModelOps workflows to increase overall quality and quantity of candidate models ready for production. With OCI Data Science, teams of data scientists from major Fortune 100 companies can deliver results to production faster and with more confidence.


For this particular position, your role as a data scientist will focus on providing guidance on product directions around data science features. We are looking for experienced candidates who have a strong technical skillset with a proven track record of providing predictive machine learning (ML) models in industry. The ideal candidate also has a deep interest in the infrastructure and engineering challenges behind training and deploying ML models at scale. 

·        Develop overall product strategy based on measurable business value that aligns with overall strategy of the Oracle OCI Data Science service
·         Develop an aggressively prioritized product roadmap by collaborating with engineering, marketing, and other stakeholders
·         Lead the complete product development lifecycle in an agile environment from user-story driven product requirements to product delivery
·         Develop technical proof-of-concepts (PoCs) and demos to de-risk feature development
* Contribute to our expertise content and help deliver solutions in collaboration with various consulting and solution engineering teams at Oracle.
·         Help build an integration roadmap with other Oracle products
·         Research the competitive landscape
 
Must-have qualifications\:
·         3 years of experience in a senior/leadership data science role in an enterprise Fortune 100 companies, OR 3 years of practical experience solving data engineering problems at scale
·         B.S. in Statistics, Computer Science, Math, Physics, Economics, or another quantitative field.
·         3 years developing machine learning models using Python. Expert user of git, jupyter/jupyterLab, pydata stack.
·         Deep understanding of the data science and machine learning space, especially the open source landscape in python.
·         Experience with container technology (Docker) and orchestration technologies such as Kubernetes
·         Experience with distributed systems in the machine learning sphere\: Hadoop and any of its commercial versions (Cloudera, Hortonworks, Mapr), Spark, or Dask.
Experience training and deploying models on GPUs. 
·         Experience delivering machine learning models to production systems.
·         Strong verbal and written communication
·         Passion for building outstanding data science products
Additional desired qualifications\:
·         M.S. or Ph.D in a quantitative field
·         Experience leading teams using an Agile software development methodology

·         Exceptional communication and presentation skills. You should be comfortable presenting to C-level executives, research analysts, as well as speaking at major conferences.!|!Work as part of a team that acts as the central resource and driving force for the design, process, manufacturing, test, quality and marketing of product(s) as they move from conception to distribution. Organize interdepartmental activities ensuring completion of the project/product on schedule and within budget.

As a member of the product development division, you will define product specifications and or strategy. Gather and analyze information to define product specifications and review design specifications. Communicate product strategy and functionality. Initiate and foster relationships with other groups. Review product documentation and collateral. Ensure successful product releases based on corporate priorities.

Duties and tasks are varied and complex, needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.

Oracle is an Affirmative Action-Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veterans status, age, or any other characteristic protected by law.

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