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Oracle Principal Data Scientist - Technical Operations & Support - (JoinOCI) in Reno, Nevada

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Leading contributor individually and as a team member, providing direction and mentoring to others. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. 8 years relevant work experience. BS/BA preferred.

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.

Cloud Engineering Infrastructure Development –

Technical Operations & Support - Data Scientist

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. 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 OCI’s 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 really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you’ll belong and be encouraged.

We are specifically looking for aData Scientist to join the Technical Operations & Support Analytics team. The team is dedicated to providing accurate data and partnering with teams to help them discover actionable narratives in their data; both by describing the past and predicting the future.

We believe information enables success, and we are committed to providing clear insights for all levels of the organization. The ideal candidate will have proven experience with requirements gathering, data modeling and analysis, and communicating insights. If you are passionate about taking ownership of concrete data challenges and producing business intelligence solutions that have broad, significant impacts - come join our team!

*In this role, you will: *

  • Provide machine learning methodology leadership.

  • Design, prototype, implement and test descriptive, predictive analytics, forecasting, and causal inference models

  • Work with data engineers and analyst to architect and develop operational models that run at scale

  • Partner with teams to identify and explore opportunities for the application of machine learning and predictive analysis

  • Communicate with technical and non-technical audiences, and contribute modeling expertise as a team player

  • Develop strong hypotheses, independently solve problems, and share actionable insights with engineering leadership

  • Apply analytic rigor to synthesize data into an clear narrative that allows for data-driven decision making across the organization

  • Program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for cloud services

  • Interact with operations and support teams to identify questions and issues for data analysis and experiments.

  • Code software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

  • Identify & interpret meaningful insights from large data and metadata sources;

  • Derive data stories and communicate findings from analysis and experiments to product, service, and business/ops/support management.

Mandatory Qualifications:

  • PHD or Master's degree in Computer Science, Data Science or related technical field or equivalent professional experience

  • Comfortable working with terabyte-level data sets.

  • Hands on experience in SQL with experience in RDBMS technologies

  • Demonstrated strength in algorithms, complex data structures, and dynamic programming

  • Proficient Industry work experience in any machine learning programming language to implement statistical models, and advance analytics (Prediction, Classification, Clustering, NLP, etc.) in big data environment

  • Ability to synthesize complex elements into crisp and robust stories for audiences of variable technical levels

  • Excellent organizational skills with strong attention to detail

  • High sense of ownership, self-motivation, and desire to delight customers.

  • Demonstrated ability to effectively collaborate and influence.

  • Able to independently operate in an ambiguous and fast paced environment

  • Foundational knowledge on cloud technologies and infrastructure

*Preferred Qualifications: *

  • 8 years of experience in data analytics role or equivalent

  • 3 years' Data Modeling experience

  • Experience in prescriptive and predictive analytics

  • Knowledge of advanced data mining and machine learning

  • Knowledge of data structures and scripting with Python

  • Demonstrated investment in using data analysis and metrics to continuously improve systems, software, and processes

  • Ability to gather data requirements and use data modeling to visualize patterns for analysis

  • Experience with cloud platforms and cloud architecture

  • Experience with operating systems in production, following the DevOps model

/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./

For more information:

Anita Filip| OCI Principal Talent Advisor

anita.filip@oracle.com

Boulder CO

OracleGlobal Talent Advisory

View the Videoof our OCI Team!http://bit.ly/OracleOCI

Job: *Business Operations

Organization: *Oracle

Title: Principal Data Scientist - Technical Operations & Support - (JoinOCI)

Location: United States

Requisition ID: 20000T44

Other Locations: US-WA,Washington-Seattle

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