Principal Data Scientist Network Reliability Engineering AIML
Share
Job Location:
Austin, TX - USA
Yearly Salary:
$ 96800 - 223400
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Description
Responsibilities
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: $96800 to $223400 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 Oracles 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:
1. Medical dental and vision insurance including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. 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.
As a Principal Data Scientist you will play a key role in designing building and maintaining the data infrastructure that powers statistical analyses and machine learning initiatives for the Network Reliability Engineering organization. You will work closely with data scientists engineers and other stakeholders to develop and deploy scalable efficient and reliable ETL data pipelines that drive business value. You will also lead initiatives to improve deliver and enable reporting and insights.
Responsibilities
- Design build and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training testing and deployment
- Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions
- Create comprehensive data strategies to enable reporting analytics and machine learning
- Conduct research to evaluate data and answer strategic business questions
- Generate actionable insights and enable reporting through data transformation statistical analyses and machine learning methods
- Fine-tune and optimize algorithms and models to ensure scalability reliability and high performance
- 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 software 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
Qualifications & Skills
- BS (or equivalent experience) in Data Science Computer Science Engineering or a related quantitative or technical field
- 8 years of data science or software engineering experience
- Expertise in data pipeline tools such as Apache Spark Apache Beam or Apache Flink
- Experience with data warehousing and data lake technologies such as Oracle Object Storage Apache Hadoop Apache Hive or Amazon Redshift
- Strong programming skills in languages such as Python Java or Scala
- Solid understanding of data structures and algorithms for designing and implementing efficient scalable data processing systems
- Experience with containerization technologies such as Docker and Kubernetes
- 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
- Experience with machine learning frameworks such as TensorFlow PyTorch or Scikit-learn
- 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 or
- Experience with agile development methodologies and version control systems such as Git or Bitbucket
Responsibilities
#oci-net-grady
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: $96800 to $223400 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 Oracles 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:
1. Medical dental and vision insurance including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. 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.
9. 11 paid holidays
10. 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.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. 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
Required Experience:
Staff IC
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
About Company
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 eve ... View more
