目錄 (Table of Contents)

1. Introduction
   介紹
2. Junior Data Scientist
   初級數據科學家
3. Mid-Level Data Scientist
   中級數據科學家
4. Senior Data Scientist
   資深數據科學家
5. Additional Compensation
   額外補償
6. Summary
   摘要

介紹 (Introduction)

The lucrative role that is data scientist can definitely provide for a hefty salary; however, some companies may see the role differently, and that makes for a highly variable range of salary across the United States and even The World. Even amongst the same company, the range of salary can vary in the thousands depending on the seniority of the position. I have interviewed with several companies, and while I cannot say specifics about them and their respective salaries, I can attest to publicly documented salary ranges provided online. I will be outlining the three main seniority tiers of data science positions along with their salary ranges. Additionally, I will comment on roles that could provide more or less money based on the required skills within the job description. I will report the salary from a reputable website and also comment on a generalized salary from my experience.

數據科學家的有利可圖的作用絕對可以帶來豐厚的薪水。 但是，有些公司可能會看到不同的角色，這導致美國乃至整個世界的薪資范圍變化很??大。 即使在同一家公司中，根據職位的資歷，薪水范圍也可能成千上萬。 我曾采訪過幾家公司，雖然我無法說說它們及其各自薪水的細節，但我可以證明在線提供的公開記錄的薪水范圍。 我將概述數據科學職位的三個主要資歷等級及其薪資范圍。 此外，我將根據職位描述中所需的技能對可以提供更多或更少收入的職位進行評論。 我將通過信譽良好的網站報告工資，并根據我的經驗對廣義工資進行評論。

Salary is always a touchy subject, whether you are not allowed to talk about it, or do not want to talk about it. Our society has made it incredibly taboo to discuss salaries, which I completely disagree with. I know there are companies that are working to make their salaries public as Indeed does. However, you could really get wronged by an employer if you unconfidently suggest a salary that you think is somewhat high, but still pretty low relatively, and then later find out that the company was planning on offering thousands over what you suggested. But, since you suggested the salary first, the company just then saved a ton of money, which seems incredibly wrong to do of them. It is almost as if employers want their employees and their peers to not know what they are making salary-wise to protect them, but then it backfires, because you will have, say, 10 employees, who have the same experience with highly varying degrees of salary, and it eventually gets out and feelings can then be hurt.

無論您是不允許談論薪水還是不想談論薪水，薪水始終是一個敏感的話題。 我們的社會使討論薪水變得非常忌諱，我完全不同意這一點。 我知道有些公司正在像Indeed一樣努力公開其工資。 但是，如果您不由自主地提出一個您認為較高但相對較低的薪水，然后您發現該公司計劃提供您建議的數千美元，您可能真的會受到雇主的委屈。 但是，由于您先提出了薪水建議，所以公司才省下了一大筆錢，這樣做似乎是非常錯誤的。 幾乎就像雇主希望其雇員和同僚不知道他們為保護他們而在薪水方面做了什么，但是事與愿違，因為例如，您將有10名員工，他們在不同程度上具有相同的經驗薪水，它最終消失了，感情就可能受到傷害。

The biggest snippets of advice I can give to anyone negotiating salary, not just data scientists, is to know your worth, be honest with yourself, and to not settle for less. Do not ask for hundreds of thousands of dollars, but look at the average salary, and ask yourself, what have I done to do better in my career and education so far. To add to my advice, I want to give readers a summarized report of reported salary and generalized salary expectations from my personal experience. All of my salary output will be in regards to dollars of the United States.

我可以給任何從事薪水談判的人(不僅是數據科學家)提供的最大建議是：了解自己的價值，對自己誠實，不要為自己的生活花錢。 不要要求數十萬美元，而是要看看平均工資，然后問問自己，到目前為止，我在提高職業和教育水平方面做了哪些工作。 為了補充我的建議，我想給讀者總結一下我的個人經驗，這些報告包括薪水報告和期望的廣義薪水。 我所有的薪水輸出將以美國美元為單位。

Continue reading below if you want to know more about the data science salary from the three different sub positions, along with comments on additional compensation.

如果您想從三個不同的子職位上進一步了解數據科學薪水，以及有關額外薪酬的評論，請繼續閱讀以下內容。

初級數據科學家 (Junior Data Scientist)

A role like junior data scientist does not last very long, so do not worry if this salary range is not up to your standards or expectations. Because data science is a fairly new position in the workforce, or at least officially as a title, most junior roles consist of just your first position, which will most likely last a year. After that, you can work towards a normal, mid-level tier data scientist position. But let’s not get ahead of ourselves. Because Indeed has up-to-date (it will include the updated at date with the day, month, and year) and popular information on salaries in general, I will be using them as my main reference for salary.

像初級數據科學家這樣的角色不會持續很長時間，因此如果此薪資范圍不符合您的標準或期望，請不要擔心。 因為數據科學在員工隊伍中是一個相對較新的職位，或者至少在正式職位上是頭銜，所以大多數初級職位僅由您的第一職位組成，這很可能會持續一年。 之后，您可以朝著正常的中層數據科學家的位置努力。 但是，讓我們不要超越自己。 因為Indeed具有最新信息( 將包括日期，日期，日期，日期，日期，月份和年份 )，以及一般情況下有關薪資的熱門信息，所以我將使用它們作為薪金的主要參考。

Here is the average salary for a junior data scientist:

這是初級數據科學家的平均工資：

Indeed Reported Junior Data Scientist Salary Approximation [2] — $86,000

確實報道過的初級數據科學家的工資近似值 [2]-$ 86,000

They also have a range of $32,000 to $168,000, which seems a little outrageous. Therefore, I will give a little of my own input. I would say from generalizing that you can expect a more specific and narrowed down range of:

它們的價格范圍也從32,000美元到168,000美元不等，這似乎有點離譜。 因此，我將提供一些自己的意見。 概括地說，您可以期待更具體，更窄的范圍：

My Reported Junior Data Scientist Salary Approximation — $90,000

我所報的初級數據科學家的薪資大約為$ 90,000

However, I do know of some junior positions offering much less, but I simply would try to apply somewhere else if you can, especially if you have a master’s degree.

但是，我確實知道有些初級職位的薪水要低得多，但是我會盡可能地嘗試在其他地方申請，尤其是如果您擁有碩士學位。

中級數據科學家 (Mid-Level Data Scientist)

A mid-level data scientist can also be thought of as a normal, average data scientist with 1–3 years of experience, some would say 2–3 instead. After you get that first year done with, you will have more confidence in not only your data science abilities, but your abilities to negotiate as well. Some companies may offer less or more than what I will report on below; however, it is also important to know in general what you know your worth is. When interviewing, do not shyly provide what you think could and might make, but tell them what you know you should make. It is critical to look at other characteristics than just years of experience, but these as well:

中級數據科學家也可以被認為是具有1-3年經驗的普通，普通數據科學家，有些人則說是2-3年。 在完成第一年的工作后，您不僅會對自己的數據科學能力而且對協商能力也更有信心。 有些公司提供的價格可能會低于或低于我在下面的報告。 然而，了解自己的價值也很重要。 面試時，不要害羞地提供您認為可以做的事情，而要告訴他們您應該做的事情。 除了多年的經驗，重要的是要查看其他特征，但這些特征還包括：

projects you have worked on — impact on the businesseducationboot campsadditional coursescompany successlocation/city

Indeed Reported Data Scientist Salary Approximation [3]— $121,000

確實報道過的數據科學家薪資近似值 [3]-$ 121,000

To me, this reported summary salary seems a little high; however, it could be weighed more from people who have three years of experience versus those with one or two, or from reports in larger, more expensive-to-live-in cities.

在我看來，這個報告的總薪水似乎有點高； 但是，相比擁有一兩年經驗的人，擁有三年經驗的人，或者來自居住成本更高的大型城市的報告，可能會給它帶來更大的影響。

My Reported Data Scientist Salary Approximation — $110,000–$115,000

我的報告數據科學家的薪資近似值-$ 110,000– $ 115,000

I believe if you are looking for a role right after your first year, something around $110,000 is more accurate.

我相信，如果您在第一年就開始尋找職位，那么大約$ 110,000的費用會更準確。

資深數據科學家 (Senior Data Scientist)

A senior role in data science typically is anywhere from three to infinity amount of years. There are other roles that sometimes suggest higher than a senior position and salary like:

數據科學中的高級職位通常為三年到無限年。 有時還有其他一些職位可能比高級職位和薪水更高，例如：

• Principal Data Scientist
  首席數據科學家
• Lead Data Scientist
  首席數據科學家
• Data Scientist Manager
  數據科學家經理

Indeed Reported Senior Data Scientist Salary Approximation [4] — $151,000

確實報道的高級數據科學家薪資近似值 [4]-$ 151,000

I believe this reported salary is a little too high; however, if you are in cities like New York City, San Francisco, and Los Angeles, salaries could exceed this average.

我相信這個報告的薪水有點太高了。 但是，如果您在紐約，舊金山和洛杉磯等城市，工資可能會超過這個平均水平。

My Reported Senior Data Scientist Salary Approximation — $135,000 — $140,000

我所報告的高級數據科學家的薪資大約-$ 135,000-$ 140,000

I think this is a more fair expectation for a senior role if you are just getting to that level.

我認為，如果您剛剛升到那個級別，這是對高級職位的更公平的期望。

As with all of these reported salaries, I assume that you are going from the previous position to the next, so you will, therefore, be at the lower end of the salary range.

與所有這些報告的薪水一樣，我假設您正在從上一個職位轉到下一個職位，因此您將處于薪資范圍的下限。

Opposingly, you can expect to exceed over the average for all three of these roles once you are already at a senior position, for example, switching to another senior position.

相反，一旦您已經擔任高級職位(例如，換到另一個高級職位)，就可以期望超過這三個角色的平均水平。

額外補償 (Additional Compensation)

Other ways to increase your salary are to widen your skillset. Some skills that are typically lucrative include, but are not limited to:

增加薪水的其他方法是擴大技能范圍。 通常有利可圖的一些技能包括但不限于：

• Airflow
  空氣流動
• Machine learning operations
  機器學習操作
• Integrations with software architecture
  與軟件架構的集成
• Automation of your data science
  數據科學的自動化
• Cloud computing
  云計算
• Presentation skills
  演講技巧
• Sofware engineering
  軟件工程

There are forms of pay other than salary to keep note of. Those forms usually include bonuses (5–15% of salary per year) and stocks.

除薪水外，還有其他形式的工資需要注意。 這些形式通常包括獎金(每年薪金的5-15％)和股票。

摘要 (Summary)

Of course, there are multiple sites and information from personal experiences for generalizing data scientists' salaries, but it is always changing, and is based on a variety of factors. The best thing you can do is to do your research, assess where you are in your career, and go for a salary that fits your expectations.

當然，有很多來自個人經驗的站點和信息可以概括數據科學家的薪水，但是它總是在變化，并且基于多種因素。 您可以做的最好的事情是進行研究，評估您的職業生涯，并找到符合您期望的薪水。

I hope you enjoyed my article. Feel free to comment down below. Thank you for reading!

希望您喜歡我的文章。 請在下面隨意評論。 感謝您的閱讀！