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Oracle Data Science Jobs in Florida (NOW HIRING)

Noblesoft Solutions

Data Scientist

Jacksonville, FL

As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

Fanatics, Inc.

Oracle Architect

Jacksonville, FL · On-site

$205K - $225K/yr

Participate in technical integrations, data migrations, and customizations using Oracle tools (OIC ... S. equivalent in Applied Computer Science or a related field, plus 6 years of professional ...

UAB

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

Tampa, FL · On-site +1

$126K - $205K/yr

We are seeking a data science manager to assist us with developing and managing a large repository ... Proficiency with Oracle databases, PL/SQL, or MS SQL Server T-SQL * Knowledge of Tableau, SAS, R, a ...

LotSolutions, Inc.

Senior Data Analyst

Jacksonville, FL

$77K - $97K/yr

... Computer Science, Data Science, Information Management, or a related field -- or equivalent ... Familiarity with Oracle EBS or similar ERP/financial systems is a plus. * Experience with insurance ...

Fortegra

Senior Data Analyst

Jacksonville, FL · On-site

$77K - $97K/yr

... Computer Science, Data Science, Information Management, or a related field - or equivalent ... Familiarity with Oracle EBS or similar ERP/financial systems is a plus. * Experience with insurance ...

Fanatics, Inc.

Oracle Architect

Jacksonville, FL · On-site

$205K - $225K/yr

Participate in technical integrations, data migrations, and customizations using Oracle tools (OIC ... S. equivalent in Applied Computer Science or a related field, plus 6 years of professional ...

Ascension Federal Services Inc.

Oracle DBA

Tallahassee, FL · On-site

$48.25 - $65.50/hr

Converts and exports data in MS Access databases to the Oracle database as required. * Write ... Bachelor's degree in Computer Science or related field * Proven work experience as an Oracle DBA * ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

Norwegian Cruise Line Holdings Ltd.

Data Architect

Miami, FL · On-site

$61 - $78.25/hr

Qualifications : Required : • Bachelor's Degree in Business Management, Computer Science ... Oracle, MySQL, HANA, and Snowflake. • Familiarity with both traditional on-premises and cloud ...

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How much do oracle data science jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for oracle data science in Florida is $42.59, according to ZipRecruiter salary data. Most workers in this role earn between $36.44 and $49.57 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 Florida? For Oracle Data Science jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Oracle Data Science jobs in Florida look for? The top searched job categories for Oracle Data Science jobs in Florida are:
Oracle Data Science jobs near you
Senior Data Scientist

Senior Data Scientist

Kforce Technology Staffing

Deerfield Beach, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

RESPONSIBILITIES:
Kforce has a client in Deerfield Beach, FL that is seeking a Senior Data Scientist.
Key Responsibilities:
* Model Development: Design, implement, and optimize machine learning models utilizing the Microsoft technology stack (Azure AI Foundry, Azure ML, Azure SQL Managed Instance, Azure Synapse Analytics) to solve supply chain challenges, including demand forecasting, optimization, and logistics planning
* Data Analysis: Utilize statistical analysis and data mining techniques to interpret complex data sets, identifying trends, patterns, and anomalies
* Deployment: Work with architects to deploy machine learning models into production environments, ensuring scalability, performance, and integration with existing systems
* Collaboration: Work closely with cross-functional teams, including the business, end users and IT, to understand business needs and translate them into data-driven solutions
* Presentation: Prepare and present findings, complex models, and statistical outputs to leadership and stakeholders, ensuring clarity and actionable insights
* Use Case Development: Understand various business opportunity areas and underlying data to assess potential value propositions. Including suitability for advanced analytics solutions and making recommendations on best approach
REQUIREMENTS:
* Education: Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
* Experience: 5+ years of experience as a data scientist, with a strong focus on supply chain management and problem-solving
* Proficiency in Python and experience with data manipulation libraries (e.g., Pandas, NumPy)
* Experience with Oracle Databases
* Strong SQL skills
* Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
* Familiarity with Azure cloud platforms and data warehousing solutions
* Communication Skills: Strong ability to present complex data insights and models to non-technical stakeholders
* Analytical Mindset: Proven problem-solving skills with a strong focus on data-driven decision-making
Preferred Qualifications:
* Experience in supply chain optimization tools and methodologies particularly in the Automotive Industry
* Knowledge of data visualization tools (Power BI) to communicate findings effectively
* Experience with Microsoft Fabric
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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