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Oracle

Principal Data Scientist

Oracle, Seattle, Washington, us, 98127

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Job Description

The Oracle Cloud Infrastructure Compute team is seeking a passionate, experienced Principal Data Scientist to tackle complex technical challenges of the Compute and AI Infrastructure, building sophisticated analytical and optimization system to drive infrastructure optimization and efficiency improvements through data analysis, AI/ML/DL modeling and data visualization. As OCI continues to scale to the demand of an ever-growing customer base and regions, we need hands-on scientists who can lead data-driven initiatives to ensure OCI continues to provide an outstanding customer experience while continuously improving the efficiency of OCI Compute and AI Infrastructure. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions and has a proven track record of delivering business intelligence and reporting solutions across a highly complex environment involving multiple organizations, departments and teams.

Location: Seattle, WA - hybrid role 3 days in office

Responsibilities

Responsibilities:

The Principal Data Scientist will be responsible for designing, building and maintaining large-scale data pipelines that support statistical analyses and machine learning model testing, and deployment, forecasting model for infrastructure maintenance and lead business intelligence initiatives that impact both product and business for OCI. In addition, this specific role requires a passion for solving high-impact problems and the ability to jump into any in-flight project and get it on the rails.

Specific responsibilities for this role include:

Design, build, and maintain large-scale data pipelines for statistical analysis and ML modeling

Collaborate with data scientists and other stakeholders to understand data needs and develop solutions that meet those needs

Create comprehensive data strategy to enable reporting and business analytics

Conduct research to evaluate data and answer strategic business questions

Generate actionable insights and enable reporting through data transformation, statistical analyses, or machine learning methods

Fine-tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level

Develop and maintain data architectures that support data warehousing, data lakes, and data governance

Work with cross-functional teams to integrate data pipelines

Ensure data quality, integrity, and security across all data pipelines and systems

Develop and maintain metrics and monitoring to ensure data pipeline performance and reliability

Champion data engineering and data science principles

Provide guidance and mentorship to junior data scientists, contributing to team knowledge and best practices

Stay up-to-date with the latest developments in machine learning, statistics, and data science, applying new techniques to improve processes and products

Basic Qualifications

BS (or equivalent experience) in Data Science, Computer Science, Applied Mathematics, Engineering, or related quantitative or technical field

8+ years of data science or software engineering experience

Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift.

Experience analyzing data, generating insights, and telling stories with data

Strong understanding of data governance, data quality, and data security principles

Excellent communication and collaboration skills

Preferred Qualifications

Data visualization and polished communication skills.

Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills

Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment

Highly analytical, technically proficient, and able to learn new tools and ML models quickly

Experience with GenAI LLM models

Experience with MLOps, building workflows for model retraining, monitoring and deploying

Experience with ML frameworks such as TensorFlow, PyTorch

Experience with cloud-based data platforms such as OCI, AWS, GCP, or Azure

Experience with data visualization tools such as Oracle Analytics Cloud, Tableau, Power BI

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $109,200 to $223,400 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.

Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4

About Us

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an 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 and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.