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Oracle Data Science Jobs in California (NOW HIRING)

Maayee Information Technology Pvt Ltd

Data Engineer

Tracy, CA · On-site

$123K - $148K/yr

... Oracle, MySQL) experience working with enterprise DE tools, ability to learn in-house DE tools ... Education: BS/MS in Computer Science or a related technical field Skills and Experience: Required ...

Amazon

Data Scientist II - AMZ26888.1

Mountain View, CA · On-site

$157K - $212K/yr

Apply a range of data science techniques and tools combined with subject matter expertise to solve ... Import processes through various company specific interfaces for accessing Oracle, RedShift, and ...

Amazon

Data Scientist II - AMZ27022.1

San Diego, CA · On-site

$136K - $184K/yr

Apply a range of data science techniques and tools combined with subject matter expertise to solve ... Import processes through various company specific interfaces for accessing Oracle, RedShift, and ...

Amazon

Data Scientist II - AMZ27351.1

San Francisco, CA · On-site

$175K - $212K/yr

Apply a range of data science techniques and tools combined with subject matter expertise to solve ... Import processes through various company specific interfaces for accessing Oracle, RedShift, and ...

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Oracle Data Science information

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How much do oracle data science jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for oracle data science in California is $56.25, according to ZipRecruiter salary data. Most workers in this role earn between $48.17 and $65.48 per hour, depending on experience, location, and employer.

What is data science in Oracle?

Data science in Oracle involves analyzing large datasets using statistical methods, machine learning, and data visualization to extract insights and support decision-making. Oracle provides tools like Oracle Data Science Cloud and integrates with platforms such as Python and R for model development and deployment.

What are some common challenges Oracle Data Science professionals face when integrating machine learning models with enterprise databases?

Oracle Data Science professionals often encounter challenges related to data compatibility, scalability, and security when integrating machine learning models with enterprise databases. Ensuring that large, complex datasets are properly pre-processed and that models are efficiently deployed within Oracle's ecosystem can require close collaboration with database administrators and IT teams. Additionally, maintaining data privacy and compliance with organizational standards often requires careful planning and ongoing monitoring. Having a strong understanding of Oracle Cloud Infrastructure and its machine learning tools can greatly ease this integration process.

What is the difference between Oracle Data Science vs Data Analyst?

AspectOracle Data ScienceData Analyst
Required SkillsData modeling, machine learning, SQL, Python, RData interpretation, Excel, SQL, visualization tools
Work EnvironmentTech companies, data science teams, cloud platformsBusiness units, reporting teams, analytics departments
CertificationsOracle certifications, data science certificationsNone specific, often Excel or business analytics certifications

Oracle Data Science roles focus on developing machine learning models and advanced analytics using Oracle tools and cloud platforms. Data Analysts primarily interpret data, create reports, and support decision-making with visualization and basic analytics. While both roles require SQL and data handling skills, Oracle Data Science positions demand expertise in machine learning and programming, whereas Data Analysts focus on data reporting and business insights.

Is 40 too late for data science?

Age is not a barrier to becoming an Oracle Data Science professional. Many data scientists start their careers later in life, and skills such as programming, statistics, and machine learning can be developed at any age through online courses and certifications. Employers value experience and problem-solving ability over age, making it possible to enter the field at 40 or older.

What are the key skills and qualifications needed to thrive as an Oracle Data Science professional, and why are they important?

To thrive as an Oracle Data Science professional, you need expertise in statistical analysis, machine learning, data modeling, and typically a degree in computer science, statistics, or a related field. Familiarity with Oracle Cloud Infrastructure, Oracle Machine Learning tools, SQL, and relevant certifications such as Oracle Data Science Certification are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you translate complex data insights into actionable business strategies. These skills ensure you can leverage Oracle's platforms to derive meaningful insights and drive data-informed decision-making for organizations.

What is the salary of data scientist in Oracle?

The salary of an Oracle Data Scientist typically ranges from $90,000 to $140,000 annually, depending on experience, location, and skill set. Senior roles or those with specialized skills in machine learning and data analysis may earn higher compensation. Benefits often include health insurance, bonuses, and professional development opportunities.

What is an Oracle Data Scientist?

An Oracle Data Scientist is a professional who uses Oracle's suite of data science tools and platforms to analyze large datasets, build predictive models, and provide data-driven insights for organizations. They leverage Oracle Cloud Infrastructure, Oracle Machine Learning, and other Oracle technologies to process, visualize, and interpret data. Their role often involves collaborating with business stakeholders to solve complex problems, automate processes, and support decision-making using advanced analytics and machine learning techniques.

Is IT hard to get a job at Oracle?

Securing an Oracle Data Science position can be competitive, requiring strong skills in data analysis, machine learning, and familiarity with tools like Python and SQL. Candidates often need relevant experience, certifications, or advanced degrees, and the hiring process may include technical interviews and assessments.
What are popular job titles related to Oracle Data Science jobs in California? For Oracle Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Oracle Data Science jobs in California look for? The top searched job categories for Oracle Data Science jobs in California are:
What cities in California are hiring for Oracle Data Science jobs? Cities in California with the most Oracle Data Science job openings:
Oracle Data Science jobs near you
Infographic showing various Oracle Data Science job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,996 per year, or $56.2 per hour.
Senior Manager / Manager, Clinical Data Management

Senior Manager / Manager, Clinical Data Management

Kodiak Sciences Inc.

Palo Alto, CA

Full-time

Posted 22 days ago

Job description

Kodiak Sciences is a biopharmaceutical company committed to researching, developing, and commercializing transformative therapeutics to treat a broad spectrum of retinal diseases. We are focused on bringing new science to the design and manufacture of next-generation retinal medicines to prevent and treat the leading causes of blindness globally. This role is on-site at Kodiak's headquarters in Palo Alto, CA. 
 
We are seeking a dedicated and detail-oriented person to support data management activities for clinical trials. This role will contribute to database development, data quality oversight, and vendor coordination to ensure accurate, compliant, and submission-ready data. The ideal candidate will bring strong hands-on experience and a collaborative mindset, working closely with cross-functional teams to drive successful trial execution and regulatory submissions.
 
Responsibilities
  • Support the design, development, and validation of clinical trial databases and electronic Case Report Forms (eCRFs) at the study level.
  • Oversee data cleaning, query resolution, and delivery of high-quality datasets to support trial milestones and regulatory submissions.
  • Collaborate with external data management vendors to ensure timely and high-quality deliverables; track performance against project timelines and quality standards.
  • Participate in the preparation, review, and validation of submission-ready datasets for regulatory filings (e.g., NDA, BLA, MAA).
  • Ensure compliance with industry standards and regulations (GCP, FDA, EMA) and assist in audit and inspection readiness.
  • Coordinate with internal stakeholders including Clinical Operations, Biostatistics, Regulatory Affairs, and IT to ensure smooth data integration and reporting.
  • Contribute to the implementation and optimization of clinical data systems and tools (e.g., EDC, data review platforms).
Education / Qualifications
  • Bachelor’s degree in Life Sciences, Data Science, Computer Science, or a related field.
  • 10+ years of experience in clinical data management within the biotech, pharmaceutical, or CRO industry.
  • Experience managing study-level data management activities and working with external vendors.
  • Familiarity with clinical data systems (e.g., Medidata RAVE, Oracle Clinical, Veeva) and industry data standards (e.g., CDISC, SDTM).
  • Demonstrated experience supporting regulatory submissions is a plus.
  • Strong problem-solving, organizational, and communication skills.

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