Data Scientist 4

Responsibilities

• Design, develop, and maintain scalable data pipelines to support statistical analysis and machine learning model development, testing, and deployment

• Collaborate closely with data scientists, engineers, and other stakeholders to understand data requirements and deliver effective solutions

• Define and implement comprehensive data strategies to enable advanced analytics, reporting, and machine learning initiatives

• Conduct research and data exploration to answer strategic business questions and drive data-informed decisions

• Generate actionable insights by applying data transformation techniques, statistical analysis, and machine learning algorithms

• Optimize models and algorithms for performance, scalability, and reliability in production environments

• Architect and maintain data infrastructure including data lakes, data warehouses, and governance frameworks

• Integrate and align data pipelines across cross-functional teams to ensure consistency and usability

• Ensure data quality, integrity, and security across all systems and processes

• Develop monitoring systems and performance metrics to track data pipeline reliability and effectiveness

• Advocate for best practices in data science and software engineering

• Mentor junior team members, contributing to knowledge-sharing and skill development

• Stay current with emerging trends and tools in data science, machine learning, and big data, and apply them to improve internal processes and products

Qualifications & Skills

• Bachelor’s degree (or equivalent experience) in Data Science, Computer Science, Engineering, or a related technical discipline

• 8+ years of experience in data science, data engineering, or software development

• Proficiency with data pipeline frameworks such as Apache Spark, Apache Beam, or Apache Flink

• Hands-on experience with data warehouse and data lake platforms like Oracle Object Storage, Apache Hadoop, Hive, or Amazon Redshift

• Strong programming capabilities in Python, Java, or Scala

• Deep understanding of data structures, algorithms, and scalable system design

• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)

• Proven ability to extract insights and communicate stories from complex data

• Solid grasp of data governance, quality, and security standards

• Excellent communication, teamwork, and problem-solving skills

Preferred Qualifications

• Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn

• Familiarity with cloud data platforms such as Oracle Cloud Infrastructure (OCI), AWS, Google Cloud, or Microsoft Azure

• Proficiency with data visualization tools such as Oracle Analytics Cloud, Tableau, Power BI, or D3.js

• Experience working in agile development environments and using version control tools like Git or Bitbucket

Compensation & Benefits

Salary Range (U.S.): $109,200 – $223,400 annually
Eligible for performance bonuses and equity grants.

Oracle offers a flexible compensation structure based on factors such as experience, expertise, geographic location, and business needs. Placement within the range will be based on these and internal equity considerations.

Benefits Include:

• Comprehensive health coverage: medical, dental, vision, and second-opinion consultation services

• Disability coverage (short- and long-term), life and AD&D insurance

• Supplemental life insurance for employee, spouse, and dependents

• Flexible Spending Accounts (FSA) for healthcare and dependent care

• Pre-tax commuter and parking benefits

• 401(k) plan with company match

• Generous paid time off, including a flexible vacation policy for salaried employees

• Accrued vacation for hourly employees based on hours worked, starting at 13 days/year

Note: Vacation eligibility varies by work schedule; employees working fewer than 20 hours/week are not eligible.

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