What is working as a data scientist like?

What is working as a data scientist like?

“More generally, a data scientist is someone who knows how to extract meaning from and interpret data, which requires both tools and methods from statistics and machine learning, as well as being human. She spends a lot of time in the process of collecting, cleaning, and munging data, because data is never clean.

Is data scientist a high paying job?

Candidates who possess the required skills can earn as high Rs 28,00.000 annually working with big players like Walmart. Glassdoor estimates the average data science salary in India at Rs 10,00,000 a year.

Is data science jobs boring?

If you view data science as “limited to crunching data and writing algorithms”, you will likely be bored with the job. However, if you view it as an opportunity to learn and demonstrate expertise across domains, as well as interact with other domain experts, then you will likely find data science to be a great fit.

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Is becoming a data scientist hard?

Like any other field, with proper guidance Data Science can become an easy field to learn about, and one can build a career in the field. However, as it is vast, it is easy for a beginner to get lost and lose sight, making the learning experience difficult and frustrating.

What is the average salary of a Siemens employee?

Salaries at Siemens range from an average of $54,666 to $131,883 a year. Siemens employees with the job title Senior Software Engineer make the most with an average annual salary of $109,625, while employees with …Read more … Pros: Professional colleagues who are always willing to share their knowledge and experience. Relaxed atmosphere.

What are the pros and cons of working at Siemens?

Siemens employees with the job title Senior Software Engineer make the most with an average annual salary of $109,625, while employees with …Read more … Pros: Professional colleagues who are always willing to share their knowledge and experience. Relaxed atmosphere. Cons: Lack of personal development, personal and professional growth.

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