It goes without saying that you will have to be really good at what you do. Apart from that, work on your skills and align yourself with the job requirements of these two giants. Below is what a Data Scientist opening looks like for Google. This will give you an idea of what to expect.
Master's degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Computational Biology, Operations Research, Economics, Bioinformatics, Physics, or Industrial Engineering or equivalent practical experience
2 years of work experience in data analysis-related field
Able to work with statistical software (Python, R, MATLAB, Pandas) and database languages like SQL
“Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world.”
Work with huge and complex data sets.
Solve difficult and non-routine analysis problems through advanced analytical methods as required.
Develop prototypes for analysis pipelines iteratively for insights at scale.
Build in-depth knowledge of Google data structures and metrics
Advocate changes for product development as required
Analysis through data gathering and requirements specification, analysis, processing, presentations, and ongoing deliverables
Optimization methods, research and develop analysis, and forecasting for improvement of quality of Google's user-facing products
Interact cross-functionally and making business recommendations like forecasting, cost-benefit, experiment analysis through effective presentations and visual displays of quantitative information of your findings at multiple levels of stakeholders
If you learn from the best, you shouldn’t have to worry about not getting the dream job. Intellipaat is there to help you do just that and open up more career opportunities with their Data Science online course. Make sure to dedicate your hours to practice in various projects and gain hands-on experience.
In the meantime, check out this video on Data Science to learn more about the domain: