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Oracle Data Science Jobs in Texas (NOW HIRING)

We are seeking an experienced Oracle ERP Data Lead to join a high-impact, multi-year enterprise ... Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline ...

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

ERP AI Engineer - Manager

Fort Worth, TX ยท On-site

$99K - $232K/yr

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate ...

Experience with Oracle generative artificial intelligence (GenAI) and Oracle Cloud Infrastructure (OCI) services for artificial intelligence, including OCI Data Science, OCI Vision, and OCI Language

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate ...

Experience with Oracle generative artificial intelligence (GenAI) and Oracle Cloud Infrastructure (OCI) services for artificial intelligence, including OCI Data Science, OCI Vision, and OCI Language

Experience with Oracle generative artificial intelligence (GenAI) and Oracle Cloud Infrastructure (OCI) services for artificial intelligence, including OCI Data Science, OCI Vision, and OCI Language

Oracle FDI - Sr Consultant

Dallas, TX

$62.75 - $79.25/hr

... Data Science, OCI Vision, and OCI Language Experience with advanced data architectures, including data mesh, data fabric, and data products Experience with Microsoft Azure, Amazon Web Services (AWS ...

Oracle FDI - Sr Consultant

Austin, TX

$63 - $79.25/hr

... Data Science, OCI Vision, and OCI Language Experience with advanced data architectures, including data mesh, data fabric, and data products Experience with Microsoft Azure, Amazon Web Services (AWS ...

Oracle Pl/SQL Developer

Westlake, TX ยท On-site

$48.75 - $61.50/hr

Participate in data migration, cleansing, and validation activities across different systems ... Bachelor's degree in Computer Science, Information Systems, or related field. * 5-8 years of hands ...

Experience designing and implementing data integration and migration solutions, including use of ... Bachelor's degree in Information Technology, Computer Science, or a related field is required.

Experience designing and implementing data integration and migration solutions, including use of ... Bachelor's degree in Information Technology, Computer Science, or a related field is required.

Experience designing and implementing data integration and migration solutions, including use of ... Bachelor's degree in Information Technology, Computer Science, or a related field is required.

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Oracle Data Science information

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How much do oracle data science jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for oracle data science in Texas is $53.10, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $61.83 per hour, depending on experience, location, and employer.

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.

Is Oracle data science certification worth IT?

Oracle Data Science certification can enhance a data scientist's credentials by validating skills in machine learning, data analysis, and using Oracle tools. It may improve job prospects and salary potential, especially for roles involving Oracle cloud services and data platforms. However, its value depends on the job market and the candidate's experience and other skills.

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 or transition into the field 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, making age less relevant than skills and knowledge.

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 a Data Scientist at Oracle typically ranges from $90,000 to $140,000 annually, depending on experience, location, and skill set. Entry-level positions may start lower, while experienced professionals with expertise in machine learning and data analysis can earn higher salaries. 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?

Getting a job as an Oracle Data Science professional can be competitive and typically requires strong skills in data analysis, machine learning, and familiarity with Oracle tools and platforms. Candidates often need relevant experience, certifications, and a solid understanding of data science concepts to improve their chances of employment.
What are popular job titles related to Oracle Data Science jobs in Texas? For Oracle Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Oracle Data Science jobs in Texas look for? The top searched job categories for Oracle Data Science jobs in Texas are:
What cities in Texas are hiring for Oracle Data Science jobs? Cities in Texas with the most Oracle Data Science job openings:
Oracle Data Lead

Oracle Data Lead

Snowrelic Inc

San Antonio, TX โ€ข On-site

Contractor

Posted 18 days ago

Be an early applicant


Job description

We are seeking an experiencedย Oracle ERP Data Leadย to join a high-impact, multi-yearย enterprise transformation programย for a leading utility provider. This role is critical to the success of migrating from a legacyย SAP ERPย platform to the latestย Oracle Fusion Cloud ERPย SaaS-based environment. As the Data Governance Lead, you will own and drive data strategy, governance frameworks, and the orchestration ofย enterprise data migration, ensuring data integrity, consistency, and compliance with business and regulatory standards.ย 

You will be part of a cross-functional ERP transformation team responsible for aligning business needs with technology outcomes, specifically leading data migration and governance initiatives to support Oracle Cloud ERP and analytical reporting platforms.ย 

Key Responsibilitiesย 

  • Lead theย data governance strategy and executionย for the Oracle ERP Cloud implementation, ensuring quality, consistency, and compliance across enterprise data sets.ย 

  • Manage theย end-to-end data lifecycle, including data mapping, cleansing, migration, validation, and reconciliation from SAP to Oracle Fusion Cloud ERP.ย 

  • Collaborate with business and technical stakeholders to define data ownership, stewardship, classification, and quality metrics.ย 

  • Oversee theย data conversion team, ensuring the accuracy, completeness, and timeliness of all data activities across functional workstreams (Finance, Supply Chain, Projects, HR, etc.).ย 

  • Partner with Business Intelligence teams to support post-migrationย analytical reporting and data modelingย requirements.ย 

  • Ensure governance across master and transactional data domains including GL, AP, AR, FA, SCM, Projects, and HRMS.ย 

  • Develop and enforceย data quality standards, data dictionaries, business glossaries, and metadata management processes.ย 

  • Work closely with System Integrators, internal IT, and business teams to design and execute theย data migration cutover strategyย and mock runs.ย 

  • Identify data-related risks and establish controls to mitigate them throughย audits and reconciliation procedures.ย 

  • Report on data quality KPIs, progress of data readiness, and migration milestones to project leadership.ย 
    ย 

Required Qualificationsย 

  • 10โ€“12 years of total experience, with at leastย 5+ years of experience as a Data Governance or Data Leadย on large-scale Oracle ERP or cloud migration projects.ย 

  • Proven experience inย data migrationย from SAP or other legacy systems to Oracle Fusion Cloud.ย 

  • Deep understanding ofย data governance frameworks, MDM (Master Data Management), and data quality principles.ย 

  • Strong experience working withย data migration tools, ETL processes, and data cleansing methodologies.ย 

  • Familiarity withย Oracle reporting and analytics platformsย (e.g., OTBI, BI Publisher, Oracle Analytics Cloud).ย 

  • Experience in the utilities industry (electric, water, gas, et al).ย 

  • Exceptional communication, leadership, and stakeholder management skills.ย 

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related discipline; advanced degree preferred.ย