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Oracle Data Science Jobs in Indiana (NOW HIRING)

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

You will partner closely with data architects, analytics engineers, data scientists, business ... Oracle / SQL Server to Synapse or Fabric. • Perform workload assessment, capacity planning, and ...

Data Engineer II

Fort Wayne, IN

$113K - $135K/yr

Associate's degree in Information Technology, Computer Science, or a related field, or equivalent ... Oracle, Microsoft Fabric, AWS or similar) is required. * Bachelor's degree in Information ...

Data Engineer II

Fort Wayne, IN · On-site

$113K - $135K/yr

Associate's degree in Information Technology, Computer Science, or a related field, or equivalent ... Oracle, Microsoft Fabric, AWS or similar) is required. * Bachelor's degree in Information ...

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

You will partner closely with data architects, analytics engineers, data scientists, business ... Oracle / SQL Server to Synapse or Fabric. • Perform workload assessment, capacity planning, and ...

... computer science or a related field • Experience in installing Oracle Software of different ... data files • Database Migration from Windows to Linux with 12cR2 version • Database cloning ...

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Oracle Data Science information

See Indiana salary details

$9

$54

$78

How much do oracle data science jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for oracle data science in Indiana is $54.23, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $63.12 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 Indiana? For Oracle Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Oracle Data Science jobs in Indiana look for? The top searched job categories for Oracle Data Science jobs in Indiana are:
Infographic showing various Oracle Data Science job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $112,806 per year, or $54.2 per hour.
Managed Services - BI Engineer - Experienced Associate

Managed Services - BI Engineer - Experienced Associate

Pwc

Indianapolis, IN

$63K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Associate

Job Description & Summary

The Opportunity
As a Managed Services - BI Engineer - Experienced Associate, you will leverage data and analytics to provide strategic insights and drive informed decision-making for clients. Within our Data and Analytics practice, you will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
In this role, you will be part of a dynamic team that values curiosity, adaptability, and reliability. You will be expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the firm, you will build a brand for yourself, opening doors to more opportunities. Embrace the chance to learn and grow in a fast-paced environment, where every experience is an opportunity to enhance your skills and contribute to the success of our clients.
Responsibilities
- Leveraging data analytics to provide strategic insights and drive informed decision-making for clients
- Developing and implementing innovative business intelligence solutions to optimize performance and enhance competitive advantage
- Utilizing tools such as Oracle Business Intelligence, QlikView, and TIBCO Spotfire for data visualization and reporting
- Building and managing data pipelines to validate data quality and integrity
- Engaging in stakeholder collaboration to gather requirements and deliver tailored analytics solutions
- Conducting data analysis and interpretation to support business case development and strategic planning
- Applying macroeconomic and microeconomic analysis to inform market development strategies
- Participating in continuous process improvement initiatives to enhance data analytics capabilities
- Supporting the development of data architecture and database management systems to streamline operations
- Adapting to diverse client needs and contributing to team success in a fast-paced environment
What You Must Have
- At least a Bachelor's degree
- At least 1 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Biology/Biomedical Sciences, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Financial Mathematics/Quantitative Finance, Health Administration/Public Health, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance, Science
- Demonstrating proficiency in Python and Java programming languages
- Utilizing Oracle Business Intelligence and QlikView for data analysis
- Developing skills in data visualization with Spotfire and TIBCO Spotfire S+
- Engaging in business data analytics and macroeconomic analysis
- Applying knowledge of data architecture development and database management systems
- Excelling in stakeholder engagement and teamwork within diverse environments

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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