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Introduction
Are you thrilled about being a Data Scientist at Apple? Is Data Science a field of your interest? If the answer is yes, this is the right place for you.
Every company wants to improve user experience and make profits, and the role of data scientists and data scientists is immense. They are responsible for mining data and contributing to the company's earnings.
Apple, one of the most demanded companies for Full-Time and Intern Roles, gets a massive number of applications each year, and the competition is enormous. We’ll discuss how to make the best of your potential to make your data scientist vision a reality.
About Apple
Apple is a multinational American Company that deals in electronics and Software.
Apple was founded in 1976 with the intention of just marketing computers, but it soon expanded its sales to iPads, Laptops, Mobile Phones, etc. It is a highly reputed company and has gained consumers' trust over the years.
Our primary focus in this article would be to highlight the opportunities you can get at this firm if you focus on Data Scientist roles.
Let’s get started!
About the Role
In the 21st century, data has become a treasure. It has become the basis of every emerging industry. Data science has become the hottest job with the growing need for data.
The position of a Data Scientist is to make use of the already existing data and derive conclusions from it. The data's results help the companies make better decisions and achieve better growth.
Pursuing a job in the Data Science field can be a challenging task that requires a significant number of analytical skills. It can be a good kickstart to your career and expose you to the various aspects of the IT industry.
Work Culture At Apple
The work culture of any organization plays an essential role in the turnover and retention of employees. The kind of environment created in a workplace directly impacts performance. Apple makes it a point to leave no stone untouched to provide a collaborative environment where new ideas are emerged and nurtured. Though the company's policy does not explicitly broadcast information about the work environment, the reviews of the employees have always been on the positive side.
The company makes sure to provide compensation, employee benefits, and flexible working hours, which are attractive to the employees.
Salary and Perks
The average salary for a Data scientist working at Apple is Rs. 38 Lacs, which is much higher than what other companies pay data scientists. The in-hand salary every month is estimated to be around 2 Lacs.
The figures presented above are subject to change by Apple.
Along with Apple's lucrative salary to Data scientists, it also provides certain perks. Apple relies highly on equality of gender. There is no salary difference based on gender. Everyone shares the same ground. It ensures not to set a bar for the candidates based on their previous pay. They provide their employees with health insurance, saving benefits, and salary uniformity.
It has a policy that allows any employee to be a stakeholder in apple through stocks, thus providing an edge.
Skills and Experience
Skills
The skillsrequired to work as a data scientist at Apple are-
The level of education required for the data scientist job in this firm is a Bachelor's or a master’s degree in Computer Science, Mathematics, and Computing. Other fields can be considered at the discretion of the company.
Required Responsibilities of a Data Scientist
The responsibilities of a data scientist include-
Collecting the correct data from a considerable lot and making the right assumptions about it.
Wrangle the data and apply cleaning algorithms to it.
Process and Integrate the data.
Perform initial analysis of data.
Select appropriate Machine Learning algorithms on the data.
Discover valuable patterns in the data.
Make necessary amendments to the results.
Give the final presentation to the firm to generate profits.
Preparation Strategy
Eligibility
The criteria for a candidate applying for the Role of Data scientist at Apple is
An 8-year experience in Data science and Machine Learning.
Hands-on programming Experience with languages like Python, R, and SPSS.
Good Data Analytical Skills.
Knowledge of subjects like Data Mining.
Previous Experience in working with Deep Learning and Neural Networks.
Accurate Model analysis
Awareness of various statistical techniques used for predictions.
Fast and motivated learner.
Recruitment Process
Apple, a highly reputed company, seeks overall redeeming qualities in candidates ranging from fundamental data analysis to complex machine learning models.
From the technical point of view, questions about A/B testing, Statistical analysis, and the thought process behind them can be asked.
Candidates should also be proficient in code in Python or R.
From the behavioral perspective, Human Resource questions may be asked.
Phone Screener Round
The Phone Screener Round is the first touchpoint between the applicant and the recruiter. It may include primary CV screening and verification of details like essential documents. The recruiter may ask technical questions about analytics, data mining, machine learning, and statistics. It involves project discussions as well.
Technical Round
The technical round is a step up from the screening one, where they judge the applicant for their skills and ask questions about Data Science, Statistics, Machine learning, Artificial Intelligence, Mathematics, and Data Modelling. The candidates are expected to showcase their coding skills.
Onsite Interviews
A candidate goes through a loop of 4-5 technical and behavioral interviews. According to the reviews provided by candidates, the process is pervasive, and the applicant is expected to have deep knowledge about the subject as well as the roles and responsibilities of the data scientists.
Additionally, specific behavioral questions can be asked of the candidates, so it is better to prepare them beforehand.
Career map
Junior Data Scientist
A junior Data scientist’s job mainly involves simple machine learning algorithms and performing substantial data analysis.
Associate Data Scientist
Their job is to accumulate the findings and make necessary changes to the data in the form of reports. They use organized information to find results.
Senior Data Scientist
A senior data scientist is expected to have a vast knowledge of statistics and machine learning that can be used to purify the data further and improve the models.
Product Manager
A product manager is responsible for articulating the needs of the customer and the business. The job of finding a strategic solution is done by the product managers.
Lead Data Scientist
The lead data scientist takes command of the data analytics team and adds further amendments to the products. A knack for statistical analysis is a crucial requirement for this role.
For more insightful details, refer to:
Resources
Do you still have doubts about how and where to begin from? All your worries are ours. Follow the structured material of Coding Ninjas to get an edge over your peers.
How to Prepare for a Technical Interview for Placements?
Frequently Asked Questions
What is the difference between Data Scientists and Data Engineers?
Data Engineers collect relevant data and pass it on to the data scientist to conduct further operations.
How relevant are communication skills for a Data Scientist Role?
One of the roles of a data scientist is to convey and present data in the form of presentations. So communication skills are critical.
How much time does a fresher require to reach the senior level?
Depending on the work an employee showcases, the promotion period may differ from 2-3 years.
Does Apple provide employees with discounts on their products?
Yes, Apple does provide discounts on Apple products to its employees.
Will Data Science jobs continue to be in demand?
Data Science is an emerging field. It is the future of every industry. So, Data science jobs are a safe career choice and are not diminishing anytime soon.
Conclusion
In this article, we discovered how to get a Data scientist role at Apple. Various vital aspects like roles, responsibilities, eligibility, and the Recruitment process are listed in the article to give a clear understanding to the reader.
If you intend to know more about roles at Apple, Check-
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