The Oracle Guided Learning development team is responsible for designing, developing, and maintaining world class Digital Adoption Platform (DAP) that serves millions of employees world-wide. As a member of the OGL development team, you will work with global colleagues to create modern, robust, scalable applications. In addition to technical and programming talent, our developers need to be customer focused, exhibit excellent communication skills, work well in a global team environment, be self-motivated and be willing to take on varied tasks to ensure the success of our projects. Excellent command of spoken and written English is essential.

• Analyze large, complex datasets to extract meaningful patterns and insights.
• Develop, implement, and optimize machine learning models to solve business problems.
• Collaborate with stakeholders to understand business requirements and translate them into data solutions.
• Perform exploratory data analysis and data visualization to communicate findings effectively.
• Design and conduct experiments to validate hypotheses and improve models.
• Utilize data mining techniques to discover trends and patterns in data.
• Work with engineering teams to deploy data-driven solutions into production.
• Continuously monitor and improve the performance of deployed models.
• Present findings and recommendations to both technical and non-technical audiences.

• Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field (master’s or PhD preferred).
• Proven 5–8-year experience as a Data Scientist or in a similar role.
• Strong programming skills in Python, R, or other relevant languages.
• Proficiency in SQL and experience with relational databases.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Solid understanding of statistical analysis and predictive modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Confident team player, with outstanding verbal and written communications skills.

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Knowledge of natural language processing (NLP) and computer vision.
• Experience with A/B testing and experimental design.

We give you the freedom, skills, tools, and technologies to shape your future. Whatever avenue you go down, you’ll gain access to immense learning experiences, and you’ll always be backed-up by Oracle’s impressive resources.  

• Good work / life balance. 
• Employee resource groups that champion our diverse Communities
• An inclusive culture that celebrates what makes you unique. 

At Oracle, we don’t just respect differences—we celebrate them. We believe that innovation starts with inclusion and people with diverse backgrounds, perspectives, and abilities. We’re committed to creating a workplace where all kinds of people can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

Career Level - IC3

• Analyze large, complex datasets to extract meaningful patterns and insights.
• Develop, implement, and optimize machine learning models to solve business problems.
• Collaborate with stakeholders to understand business requirements and translate them into data solutions.
• Perform exploratory data analysis and data visualization to communicate findings effectively.
• Design and conduct experiments to validate hypotheses and improve models.
• Utilize data mining techniques to discover trends and patterns in data.
• Work with engineering teams to deploy data-driven solutions into production.
• Continuously monitor and improve the performance of deployed models.
• Present findings and recommendations to both technical and non-technical audiences.

• Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field (master’s or PhD preferred).
• Proven 5–8-year experience as a Data Scientist or in a similar role.
• Strong programming skills in Python, R, or other relevant languages.
• Proficiency in SQL and experience with relational databases.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Solid understanding of statistical analysis and predictive modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Confident team player, with outstanding verbal and written communications skills.

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).
• Knowledge of natural language processing (NLP) and computer vision.
• Experience with A/B testing and experimental design.

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer