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Planning to start a career in data science? Selecting the right city might be the answer to achieving highly paid openings and job stability in this escalating sector. There is still an increase in the demand for data scientists all over the United States of America, but some cities show a higher demand for data scientists, higher pay rates as well as a robust tech-based market. Although San Francisco, California, is still one of the best places, many other cities have appealing opportunities for data specialists in 2024.
Here are the ten best U.S. cities for data science jobs in 2024 broken down in detail.
San Francisco continues to lure data scientists , with the best-paying jobs and a significantly large number of vacancies in the city. Employees in the data scientist role here make an average salary of $ 129, 854 with those in the higher pay bracket earning up to $183, 000. Based on LQ, San Francisco can be considered the leader, having a location quotient of 18.
61 as compared to data science job availability. For computer science students, the city is part of Silicon Valley, which grants incredible opportunities for future career growth and connection. As the ‘Capital of Silicon Valley’, San Jose proves to offer well-paying jobs as well as many positions in data science.
The mean salary for data scientists in San Jose is $128,959 on an annual basis. As currently seen, the city’s location quotient was 7.22 in the data science field, meaning that demand for talent is high, and large companies are actively recruiting.
Being in a close neighbourhood to some of the largest technological companies, San Jose is a prime candidate for anyone seeking a career in data. Seattle has established itself as a data science hub thanks to such companies as Microsoft and Amazon. Data scientists in Seattle possess an average salary of $112,311 and also have a highly efficient tech market and a location quotient of 12.
03 meaning there are many data science positions available. Oakland, located in the San Francisco Bay Area is ranked favourably because of good employment opportunities and remuneration. The data scientist's salary in Oakland is $129,657 but ranges within the spectrum of $183,000.
Oakland maintains a location quotient of 3.24 in data scientist occupational accessibility while providing professionals with the ability to work in the Bay Area without the high costs of living in San Francisco. Located east of San Francisco, Fremont offers data scientists a higher salary and job availability as it is a developing field.
Fremont offers an average salary of $129,244 and the location quotient is 2.75 which shows that the city can be a desirable choice for working close to Silicon Valley without paying the price for it. There is potential in the newer technology companies and also in more traditional ones which are benefiting from establishing a presence in what is now a growing technology hub.
Data science is rapidly becoming a centre of excellence for Chandler, AZ with the average base salary for data professionals at $89,338. Average wages here are slightly below those of the San Francisco area but the job prospects of Chandler are on the rise, with a location quotient of 3.90.
Those looking to work in a major tech company at a reasonable cost of living than cities on the coastline are likely to be drawn to the city. Pittsburgh can be considered a rather Midwestern city that offers relatively cheap living, as well as moderate competition in the field of data science. According to the sources, Pittsburgh’s average pay stands at $83,364 concerning data science, with the position being moderately easy to find, characterised by a location quotient of 4.
22. is famous for research-oriented universities, therefore it will provide opportunities for teamwork for those who are interested in working in the sphere of academia, research activities, and industries. The area of employment has been diverse in Los Angeles for many years already, and data science is not an exception here.
It takes approximately $117,736 for a data scientist to work in and around Los Angeles; they work in entertainment, health technology, and different traditional technology industries. Scottsdale is getting progressively recognized as an inexpensive city to start a tech firm. The average salary in Scottsdale is $89,917, the increase of which when compared to the average salary in Phoenix is partially offset by a lower cost of living.
Another factor pointing to enhanced data science employment in the city is its LQ of 3.09 – thanks to Arizona’s burgeoning tech landscape. Thus, this city can be considered to be an affordable solution as compared to other cities, especially suitable for junior Data Scientists.
Austin is steadily gaining the recognition of a tech city, especially for data personnel. Coveted for a better living standard, Austin has an $85,437 average salary and a 5.32 location quotient proving technological growth in the city along with adequate employment openings.
Often referred to as the “Silicon Hills,” Austin draws talent to the region because it is relatively cheaper than heavily saturated tech markets, encouraging an emerging entrepreneurial culture, and home to giants like Dell and IBM. Several tech giants are actively hiring data scientists in these cities, including: Meta - 1,734 openings Microsoft - 2,717 openings Amazon - 1,108 openings Google - 392 openings Walmart - 579 openings These are only some of the companies; there is a large number of employers interested in data science professionals in 2024 due to the importance of the data-driven approach in modern business. The major cities that have opportunities for Data Science jobs in the United States of America are some of the best places for data science workers as they are offered a good salary and equal employment opportunities.
Coastal cities such as San Francisco or San Jose will still be good places to consider, by other major cities like Chandler and Austin offer more affordability that does not have to mean sacrificing opportunities for career progression..
