Is it your dream to work in Big Tech, that too with a booming job profile in Data Science? Concerned that your lack of knowledge and inexperience is abstaining you from an exciting career with lakhs of a salary package?
Don’t Panic! Consciously Work on Below Roadmap!
The burgeoning job profile Data Science is awaiting you with an ocean of opportunities. Let me preface this majority of the job seekers ignore the profile just because it’s a challenging career. But believe me, if you are enthusiastic about solving puzzles and have a creative mindset it’s one of the exciting job profiles.
This article will guide you on the path to reaching your career goals. If you follow the roadmap below, you will thank yourself later when you’re enjoying the fruits of your efforts.
What Big Tech Companies Are Expecting From Upcoming Data Scientists?
Data Science has been high in demand over the past couple of years, as the world’s most dominant and big tech firms set out the blueprint to optimise the power of data-driven strategies. The salary packages of this job profile reflect the demand.
Data Science has been high in demand over the past couple of years, as the world’s most dominant and big tech firms set out the blueprint to optimise the power of data-driven strategies. Data science has an average salary of Rs 10.8 lakh per annum.
1. Pay Dedication to Quality.
Big tech firms receive applications from aspirants with advanced degrees, what they actually or equally lookout is interest and knowledge in the subject.
For instance, solid technical knowledge is necessary if you would like to work at Netflix. Data Scientists need to be more creative in analyzing the data to accomplish better productivity in business outcomes. Especially, some other job profiles such as data roles expect candidates to be expertise in entertainment studio production and entertainment.
In another reputed firm Meta, data scientists are required to prove experience with gauging
the success of product efforts, including the aptness to forecast important product metrics
to enhance trends.
If you’re facing rejection due to a lack of skillset, hunt for opportunities. Get in touch with
startups and complete an internship. Once you receive the tag of experience you will get
exposure to working at higher job profiles in big tech companies.
2. Companies lookout for dynamic Data Scientists, who can Connect Data to Big Picture.
Big tech firms such as Amazon Web Services (AWS), Meta, and Netflix expect data scientists to share relevant information and ideas actively with other associates and non-technical clients.
The job profile has been evolving at a brisk phase, so tech firms hunt for aspirants with the potential to achieve productivity. Hence, data scientists are expected to grow and thrive in this booming technology acquiring knowledge about new topics constantly.
A Roadmap For All the Aspiring Data Scientists!
Big Tech firms will hire you, either if you have learnt skills via course or completed higher studies in the domain.
1. Earn a Data Science Degree:
Big technology companies ensure you have quality knowledge to contribute your ideas in a creative way. If you don’t have a related bachelor’s or master’s degree, a Data Science course will certainly help you to get through the job in the desired company.
2. Learn! Learn! Learn! Mastering Relevant Skills Is Important.
Try to polish your hard data skills by taking up an online course or registering in a relevant Bootcamp.
Expertise in Programming Languages, Data visualization, Machine Learning, Big Data, and Communication to earn the desired salary package.
3. Work in entry-level data analytics job:
There are various ways to get certified as a Data Scientist, and an entry-level job as a data analytics engineer would be a smart choice. As you become more proficient in relevant skills, it would become easy to work your way up to earn the tag of a data scientist.
Collectively, a piece of fundamental knowledge in mathematical concepts backing machine learning and data science models is necessary along with programming knowledge, especially expertise in R and Python is essential to get through the job.
Read: 7 Factors Companies Look For When Hiring A Data Scientist
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