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Oracle OCI Senior Data Scientist (JoinOCI) in Seattle, Washington

OCI Senior Data Scientist (JoinOCI)

Preferred Qualifications

OCI Senior DataScientist

Business Description

The OracleCloud Infrastructure (OCI) team can provide you the opportunity to build andoperate a suite of massive scale, integrated cloud services in a broadlydistributed, multi-tenant cloud environment. OCI is committed toproviding the best in cloud products that meet the needs of our customers whoare tackling some of the world’s biggest challenges.

We offerunique opportunities for smart, hands-on engineers with the expertise andpassion to solve difficult problems in distributed highly available servicesand virtualized infrastructure. At every level, our engineers have asignificant technical and business impact designing and building innovative newsystems to power our customer’s business critical applications.

Primary Responsibilities


you envision that a program has intelligence to solve new problems on its own?

Are you passionate about leveraging data to drive decisions? Do you love to

find patterns in large data sets, even at Petabyte/Exabyte scale real time or

off line? Do you dream of building something completely new from ground up?

Oracle is growing its startup Cloud Infrastructure engineering organization in

downtown Seattle, focused on creating new Cloud (IaaS) services from scratch –

compute, storage, networking, database, security, and an expanding set of

foundational services, operating at high scale in a broadly distributed

multi-tenant cloud environment. This is a rare opportunity to join a team of

highly regarded tech industry veterans in a greenfield venture, using a fresh

approach and cutting edge technologies to build an innovative new cloud

platform. We are seeking a driven, and experienced Senior Data Science with

good expertise in Statistical Modeling, Data Analytics and all of the data

warehousing technical components such as Extract Transform Load (ETL), Data

Modeling and Reporting, infrastructure (e.g. hardware and software) and their

integration. Excellent written and verbal communication skills are required as

the candidate will work very closely with diverse teams such as Business

Planning, Product Management, and Engineering. Develops and codes software

programs, algorithms and automated processes to cleanse, integrate and evaluate

large datasets from multiple disparate sources


data tools you build will help drive the review of KPIs and key metrics for the

Cloud Infrastructure Business. The successful candidate is a self-motivated

technical leader who can deal with complex problems without supervision. She/he

is a curious person in finding patterns and insights in massive unknown data

sets. She/he needs to help define and design the first


of Big Data analytics platform use cases

Basic Qualifications

  • Bachelor’s orMaster’s degree in a quantitative field such as Statistics, AppliedMathematics, Physics, Engineering, Computer Science, or Economics

  • Good foundationunderstanding of data mining, machine learning and data sciences

  • 5 years' ofexperience with data querying languages (e.g. SQL, No SQL), scripting languages(e.g. Python, R), or statistical/mathematical software (e.g. R, SAS, Matlab,etc.)

  • Experiences in datamodeling, hypothesis testing, statistical, mathematical and predictive Modeling

  • Strong Technicalleadership skills

  • Effective verbaland written communication skills and very strong problem resolution skills

  • Ability to work ina fast paced Agile development and rapid deployment in the Cloud/SaaSenvironment

Preferred Qualifications

  • Demonstrable trackrecord of dealing well with ambiguity, prioritizing needs, and deliveringresults in a dynamic environment

  • Experience withdata visualization and presentation, turning complex analysis into insight

  • Experiencecollaborating with software development teams, data scientists, business orother technical roles

  • Experiences withcloud technologies/deployments

  • Relevant workingexperience in an analytical role which involves data extraction, analysis, andcommunication

  • A natural curiosityand desire to learn

Oracle supports workforcediversity and is an equal employment opportunity employer.

Detailed Description and Job Requirements

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.

Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 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.

Job: Business Operations

Location: US-WA,Washington-Seattle

Job Type: Regular Employee Hire

Organization: Oracle