Oracle
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Principal Data Scientist
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Oracle 2 days ago Be among the first 25 applicants Join to apply for the
Principal Data Scientist
role at
Oracle Get AI-powered advice on this job and more exclusive features. 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. 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
Qualifications
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 - $223,400 per year. 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Oracle by 2x Sign in to set job alerts for “Data Scientist” roles.
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Principal Data Scientist
role at
Oracle 2 days ago Be among the first 25 applicants Join to apply for the
Principal Data Scientist
role at
Oracle Get AI-powered advice on this job and more exclusive features. 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. 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
Qualifications
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 - $223,400 per year. 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Oracle by 2x Sign in to set job alerts for “Data Scientist” roles.
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#J-18808-Ljbffr