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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home2/magnimin/public_html/magnimind_academy/wp-includes/functions.php on line 6114Data scientist<\/strong><\/em><\/a> jobs are often said to be the IT Industry\u2019s highest paying jobs. And this is not applicable for a specific country or region. All over the world, data scientists are taken to be the holders of coveted job posts that not only bring them the fattest pay packets and several other perks, but accord them with a high degree or reverence as well.<\/span> Even those who are in the rungs lower than the data scientists make more than peers in other professions.<\/p>\n Perhaps that\u2019s why data science salary <\/strong><\/em><\/a>could act as a driving factor for those looking to make a career switch and enter the field. Even for freshers searching for the proper career path or those looking to take up new courses in data science and its related aspects to equip themselves with the requisite skills that are needed to make a mark in the domain of data science, enviable data science salary <\/strong>levels often seem to be the factor that attracts them the most.<\/p>\n Before we dive deeper to understand and decode the mystery surrounding data science salary<\/strong>, let\u2019s take a look at what makes you a good professional in the field. Remember \u2013 if you don\u2019t feel attracted to or excited about data; miss the skills, patience or experience of pondering over piles of data to find useful insights; or can\u2019t act as a data sleuth to get information from seemingly innocuous data where others can\u2019t see or find any, you should reconsider stepping into this field.<\/p>\n After all, the mere lure of high levels of data science salary won\u2019t carry you much farther in the field. You can go to a certain distance for sure, but if you aren\u2019t motivated by the beauty of the field itself, your drive will die soon and you may reach nowhere after having wasted a significant amount of time, effort and money on a subject that you didn\u2019t love or feel excited about.\u00a0\u00a0 <\/strong><\/p>\n <\/p>\n Though<\/em> the field of data science<\/em> offers various positions at different levels, let\u2019s stick to data scientists and find the three key skills one should have to excel in it.<\/p>\n <\/p>\n Data<\/em> preparation takes almost 70% of a data scientist\u2019s time<\/span>. From data cleaning and munging to preparing data so that it becomes fit for machine learning<\/strong><\/em><\/a> algorithms to be applied to it, a data scientist needs to and should be comfortable in handling huge data sets. So, possessing an analytical mindset with a strong statistical background is a must. Additionally, you should be strong in specific programming languages like R or Python<\/strong><\/em><\/a>, and have good knowledge of data structures as well as machine learning algorithms.<\/p>\n <\/p>\n Before you even start dreaming of high data science salary, <\/strong>you should ensure to have sound domain knowledge.<\/span> From the skills to understand business problems and select the most apt data science model to address them, to having an eye for the detail, and the ability to interpret the findings and arrive at the final result, you need to excel in many aspects. Apart from sound domain knowledge, you also need to have good communication skills to convey your findings in a lucid language to the wider audience.<\/p>\n <\/p>\n Apart<\/em> from being adept in programming languages like Python and R, you should also have sound knowledge of mathematics, statistics, and algorithms.<\/span> But just having these skills isn\u2019t enough. You should ideally apply your knowledge to solve real-world problems. This would need you to be not only strong with the basic concepts, but also have the ability to use the technology tools to your advantage to create great models.<\/p>\n The key is to learn the basics right and then build on them by applying the acquired knowledge to practical problems while understanding and overcoming the practical difficulties that you\u2019ve to face.<\/p>\n Now that you have a fair share of knowledge about what makes one a good data scientist, let\u2019s take a look at what probably interests you the most \u2013 high levels of data science salary. <\/strong>We\u2019ve considered three different regions across the world (the US, the UK, and India) to find where they stand with respect to data science salary. <\/strong>We\u2019ve used information from Glassdoor, PayScale, Indeed, and some additional resources for the purpose.<\/p>\n <\/p>\n According<\/em> to Glassdoor, the average base pay for a data scientist in United States stands at $117,345, but PayScale puts the figure at $92,521. Glassdoor also reveals the additional cash compensation (that includes commission, cash bonus, tips, and profit sharing) to be $11,530 on an average, while the range of such compensation is between $3,933 and $26,784.<\/p>\n In case you feel interested in knowing which companies occupy the top positions with respect to lucrative data science salary <\/strong>they pay to their data scientists, the following (the average base salary in USD) will give you an idea of what\u2019s like to work for the reputed companies:<\/p>\n If you want to know more about the salaries for some related job titles, here\u2019s what you need to know (these are the average base pay that the following jobs offer):<\/p>\n <\/p>\n The<\/em> average base pay for a data scientist in the United Kingdom stands at \u00a345,000 according to Glassdoor. PayScale puts the figure at \u00a340,547, while Indeed says it\u2019s \u00a362,143 per year in London, which is 12% above the national average. According to Adzuna, an average data scientist earns \u00a366,441 per year in London. Adzuna further adds that thus figure is 16.4% over the average national salary for data scientist jobs. When compared to the average salary across London, the average data science salary <\/strong>in London that a data scientist gets is 59.3% more.<\/p>\n Glassdoor didn\u2019t reveal anything about additional cash compensation but according to it, here are some companies that pay a lucrative data science salary <\/strong>to their data scientists (the figures below show the average base salary in GBP):<\/p>\n According to PayScale, the top five companies for hiring data scientists are<\/p>\n According to Indeed, here\u2019s what the top companies pay in terms of data science salary <\/strong>to their data scientists:<\/p>\n If you want to know more about the salaries for some related job titles, here\u2019s what you need to know (these are the average base pay that the following jobs offer):<\/p>\n <\/p>\n The<\/em> average base pay for a data scientist in India stands at \u20b9650,000 according to Glassdoor. PayScale puts the average data science salary<\/strong> (for a data scientist, IT) at \u20b9634,645, while Indeed says it\u2019s \u20b9708,076 per year.<\/p>\n Glassdoor didn\u2019t reveal anything about additional cash compensation but it lists a handful of companies that pay a lucrative data science salary <\/strong>to their data scientists (the figures below show the average base salary in INR):<\/p>\n According to Indeed, here\u2019s what the top companies pay in terms of data science salary <\/strong>to their data scientists:<\/p>\n In case you\u2019re interested in knowing more about the salaries offered by some related job titles, here\u2019s a glimpse for you to ponder upon (these are the average base pay that the following jobs offer, as per Glassdoor):<\/p>\n <\/p>\n Perhaps<\/em> you now have a better idea about the data science salary <\/strong>structure that\u2019s prevalent in companies across the world. You should remember that apart from your qualifications and experience, how much value you bring to the company too would play a big role in the level of data science salary <\/strong>you\u2019re offered. <\/span><\/p>\n So, step into this field if its elements really interest you and not just because you\u2019re chasing a fat pay packet. As we\u2019ve said before, a high level of data science salary<\/strong> alone won\u2019t take you a long way ahead unless you\u2019re driven from the inside by pure love and interest in the field.<\/p>\n1- What makes you a good professional in the field of data science?<\/em><\/strong><\/h3>\n
1.1- Analytical mindset<\/em><\/h4>\n
1.2- Sound domain knowledge<\/em><\/h4>\n
1.3- Programming and statistical skills<\/em><\/h4>\n
1.3.1- The scenario in the US<\/em><\/strong><\/h5>\n
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1.3.2- The scenario in the UK<\/em><\/strong><\/h5>\n
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1.3.3- The scenario in India<\/em><\/strong><\/h5>\n
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Final thoughts<\/em><\/strong><\/h3>\n