How do I become a data scientist for Apple?
Think about being a data scientist at Apple….Other qualifications
- Bachelor’s degree or equivalent qualification in the relative field is mandatory.
- The job requires 5-15 years with 5 years of experience and an in-depth understanding of data structures and algorithms.
Is Apple good for data science?
The Macbook Air is a good laptop for data science tasks and applications. It contains an advanced Apple M1 chip for superb processing, a powerful GPU that can accelerate machine learning tasks, and a gorgeous Retina display. There are more powerful options, but the Macbook Air is a solid choice.
Who is the data scientist of Apple?
Shashank Sharma –
Shashank Sharma – Data Scientist – Apple | LinkedIn.
How do you get an interview with Apple?
You submit your online application and a recruiter will contact you to schedule a phone interview. It can take a few weeks to be contacted if you experience fills the profile. The whole process is painless and Apple makes an effort to avoid stressing the applicants (again this is for corporate positions).
What questions do they ask in an Apple interview?
Top 3 Apple interview questions
- What is your favorite Apple device? Why?
- Tell me about a time you completely failed. How did you bounce back from it?
- Tell me about a time you disagreed with your manager.
- Behavioral/situational.
- Leadership.
- Technical/skills questions.
- Company-specific.
- General competency-based.
Which laptop is best for data science?
Summary of the Best Laptops for Data Analysis
| Laptop Name | CPU | Storage |
|---|---|---|
| Dell XPS 15 7590 | 4. 5 GHz Intel Core i7-9750h | 256GB SSD |
| Asus ROG Strix G | Intel Core i7-9750H | 1TB PCIe Nvme SSD |
| Razer Blade Pro 17 | 2.6GHz Intel Core i7-9750H | 512GB SSD |
| Acer Swift 3 | 1.8GHz Intel Core i7-8565U | 256GB SSD |
Is Apple M1 good for data science?
Data science libraries such as TensorFlow and PyTorch benefit from more CPU cores, so the upgrade from 4 high-performance CPU cores in the original M1 to 8 in the new M1 Pro/Max will be definitely good for doing data science tasks.
Is it hard to get a job at Apple?
How Hard Is It to Land a Job at Apple? As is the case with many of these tech giants, getting a job at Apple can be very competitive. In fact, securing a full-time position is often described as impossible, because Apple has so many strict and rigorous requirements you must meet to become a full-time associate.
How do I become a data scientist?
To become a data scientist, you need to complete a data science or statistics bachelor’s and master’s degree program, get a job, and continue education. Scholarships by Level Undergraduate Scholarships Masters Scholarships
Is it possible to learn data science without an advanced degree?
No. It is possible to learn data science without an advanced degree, or even a bachelor’s degree. Although most job postings list a master’s degree or Ph.D. in engineering, computer science, mathematics, or statistics, the demand for data scientists far outpaces the supply, meaning companies are open to hiring non-traditional applicants.
Is data science a good career choice?
Both software engineers and data scientists are enjoying increasingly high demand in the workforce. The software powering these products needs to be functional, intuitive, and bug-free. The data that informs the experience of these products needs to be efficiently stored, analyzed, and interpreted.
Is a software engineer or data scientist a better career option?
Software developer reigns at #1 in US News’ 100 Best Jobs list, while data science is among the top 15 fastest-growing jobs in the United States. In essence, both are excellent options. In this article, we’ll show you what role pays better—and why. What Does a Software Engineer Do?