avatarVimarsh Karbhari

Summary

The web content provides an overview of the Oracle Data Science interview process, the company's background, and its significance in the data science industry.

Abstract

The article titled "Oracle Data Science Interview" discusses Oracle Corporation's substantial revenue, its co-founders, and its prominence in the database market since the 1980s. With a vast community of developers and a global educational outreach, Oracle has established itself as a key player in data science through the acquisition of DataScience.com and its investment in data science technologies. The interview process at Oracle for data science roles involves an initial phone screen, technical machine learning questions, coding challenges, and an onsite interview focusing on machine learning algorithms, storytelling with data, and practical problem-solving. The article also provides insights into Oracle's data science tools and resources, such as the Oracle Data Science Blog and Oracle ML, and presents a series of AI/data science-related interview questions that candidates might encounter. It emphasizes the importance of storytelling skills in data science roles at Oracle and invites readers to subscribe to a newsletter for further guidance on acing data science interviews.

Opinions

  • Oracle is considered an underrated yet excellent place for data scientists to work due to its long history in databases and substantial investment in data science.
  • The interview process at Oracle is seen as a standard data science interview that values the ability to communicate effectively through data.
  • The article suggests that inept storytelling around data can prevent candidates from securing a job at Oracle, highlighting the importance of this skill.
  • Oracle's acquisition of DataScience.com is viewed as a strategic move to enhance its data science capabilities and offer a centralized platform for data science projects.
  • The article encourages readers to engage with additional resources provided, such as the Oracle Data Science Blog and the Acing AI/Data Science Newsletter, to improve their chances of success in data science interviews.

Oracle Data Science Interview

Oracle did US$40 billion total GAAP revenue in FY 2018.

Larry Ellison co-founded Oracle Corporation in 1977 with Bob Miner and Ed Oates. Oracle is a household name in Databases since 1980’s. There are 5 million registered members in the Oracle Developer Community. In every vertical, Oracle has the top companies in the domain as their customers. More than 6.3 million students are supported annually in 128 countries by Oracle. Oracle acquired DataScience.com, whose platform centralizes data science tools, projects and infrastructure in a fully-governed workspace to jump start their data science practice. A company that has been building databases and investing heavily in Data Science is one of the most underrated places for Data Scientist to work at. It is a great way to start your Data Science career.

Source: Pymnts.com

Interview Process

The interview process starts with the phone screen interview about my resume, technical questions about machine learning and finally some coding questions. Onsite interview is a standard data science interview with the team talking about ML Algorithms, techniques and focuses on delivering the story with the data.

Important Reading

Source: Oracle Data Miner

AI/Data Science Related Questions

  • What is random forest? Is random walk stationary or not, why?
  • Which technique would you use to solve a time series problem?
  • How can you cut a pie into pieces with three cuts?
  • How would you describe random forest to an older person?
  • Describe logistic regression.
  • What are the assumptions of linear regression?
  • Considering a 2-dimension matrix that can only be traversed by 1 adjacent position at a time and never diagonally. Create an algorithm to traverse that matrix from its upper-left corner to its lower-right corner using the shortest possible path in the most efficient way.
  • Two people are each stuck on their own island, connected by a ferryman with a lockable box. Each person has their own lock and key, but can’t send the key along with the box. One person wants to send the other a diamond, but it must be placed into the box and locked or it will be stolen by the ferryman. How do you send the diamond without the ferryman stealing it?

Reflecting on the Questions

Oracle is a huge player in the Data Science solutions space with its huge array of existing customers who use their database and their acquisition of DataScience.com. Their interviews are based around coding, ML and telling the story through data. Inept storytelling capability around data can surely land you a job at one of the world’s largest database companies.

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The sole motivation of this blog article is to learn about Oracle and its technologies helping people to get into it. All data is sourced from online public sources. I aim to make this a living document, so any updates and suggested changes can always be included. Please provide relevant feedback.

Data Science
Artificial Intelligence
Machine Learning
Data
Interview
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