Introduction👀
Do you want a job as a data scientist at Oracle? Don't worry! we will provide a clear roadmap that many ninjas follow to bag offers from top companies like Oracle.
Don't be afraid because
This article will discuss the prerequisites and strategy required to become a Data Scientist at Oracle.
But before jumping into the preparation strategy for becoming a data scientist at Oracle, let's learn some interesting facts about Oracle. So, let’s get started.
About Oracle👀
Oracle is the world's leading provider of business software. Oracle is one of the world's major technological corporations, operating in more than 175 nations. You might not be aware that Oracle is driving the cloud revolution.
Oracle utilizes cutting-edge technology like blockchain, AI, and machine learning to address pressing real-world issues. The work Oracle does is not only changing business, but also assisting governments, empowering organizations, and equipping billions of people with the skills they need to keep up with change and make a difference. Examples include improving energy efficiency and reinventing online commerce.
Who a Data Scientist is🤔
A data scientist is an analytics expert in gathering, analyzing, and interpreting data to support organizational decision-making. They integrate aspects of various established and specialized professions, such as mathematicians, physicists, statisticians, and computer programmers. It combines scientific ideas with advanced analytic methods like machine learning and predictive modeling.
Roles and Responsibilities🌐
About the Role🙋
The innovative culture at Oracle will help you learn, develop, and advance as a data scientist. This culture thrives on shared success, diversity of thought, and boundaryless chances that can enhance your career in novel and exciting ways.
You will create ground-breaking solutions based on their roadmaps by collaborating closely with customers and a global team of experts using tools like robotics and artificial intelligence. You will develop defense strategies to protect your client that integrates technology and user behavior throughout the blueprint process. Data scientists at Oracle collaborate to connect customers' demands with impending, cutting-edge technology to prepare them for the future.
Some key roles as a data scientist at Oracle are given below but aren't limited to the following-
✍️Put into practice new predictive and prescriptive solutions per corporate demands and specifications.
✍️Convert business problems into precise specifications to create analytical solutions, and find relevant data to back up the solution.
✍️Deliver large-scale initiatives that combine technology and procedures to assist clients in achieving high performance.
✍️In charge of implementing comprehensive big data solutions, such as data collection, archiving, transformation, and analysis.
✍️Manage a region of a project or the entire project to address client analytics issues.
Responsibilities🙋
With great power come greater responsibilities. That's why let's learn some key responsibilities needed to become a data scientist at Oracle.
🎯Provide technical proof points or help the customer see the value of Oracle Cloud Solutions as a data scientist for Oracle.
🎯While promoting solutions, uphold mastery of the Oracle portfolio and in-depth familiarity with market trends, multidisciplinary design patterns, development/deployment techniques, and rival cloud offerings.
🎯Become the customers' trusted advisor.
🎯Create and present business cases, market trends, and competitive differentiators that are in line with the go-to-market plan for your product or service.
🎯Leveraging Oracle Cloud services to produce solutions, demos, and proofs of concepts (POCs) that meet the customer's success criteria
🎯Planning, risk management, stakeholder management, conflict resolution, governance, team management, and ownership of the cloud adoption lifecycle are used to achieve desired goals.
🎯Throughout a prolonged client encounter, be flexible and maintain a sense of urgency and a realistic picture of time (urgent patience).
🎯Design non-routine and elegant business solutions with Oracle products and technology to suit customer demands by combining creativity, independent judgment, and business savvy.
🎯Participate in workshops covering business, applications, information, and technology domains to influence customer strategy, architecture, roadmap, and migration planning.
🎯Keep your expertise at the relevant expert level across the whole data ecosystem, including Big Data, Data Lakes, Advanced Analytics, and Data science.
Well, that's some key roles and responsibilities for a data scientist at Oracle. I hope you all had a thorough understanding of it. Let's see the different perks one enjoys as a data scientist at Oracle.
426+ registered 
