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Data Science Jobs in the US in 2024 [Steps to Land One]
Published
27th Dec, 2023
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Science and technology are advancing by leaps and bounds, enabling us with more accurate methods and instruments to analyze data faster. The modern modalities of data science use novel tools designed using centuries-old mathematical principles. However, data scientists are necessary as the human population constantly grows and the need for better products and services always stays strong. The importance of data science is clearly evident in the way data science job opportunities in USA and well, worldwide, are increasing. Let's dig deeper into this role and the field as well as the data science salary in the USA.
What is Data Science?
Data science is the study of data created by various human activities, such as business and research, to extract meaningful insights. It combines the principles of mathematics, statistics, computer engineering, and artificial intelligence. It is not new to humans, but the modalities used for data collection and processing have become easier with innovative tools that handle a large amount of data. Data science jobs salary in USA is the highest sought-after job in the country as compared to other countries. Unlock your potential and advance your career with the best Data Science Certification! Get hands-on experience and become a valuable asset to any organization.
Are Data Scientists in High Demand?
Companies constantly look for opportunities to improve their products and services and expand their business. They are possible only with the data that help identify the requirements of new products and customer expectations. Data science allows efficient data processing and interpretation, which helps understand the needs and make precise business decisions.
Over the years, the demand for data science job opportunities in US has grown dramatically because various industries have realized the potential and applications of data science. Data scientists find their roles in retail, research and development, the pharmaceutical industry, healthcare, e-commerce, marketing, and finance.
Data Science Jobs Based on Experience in the USA
Data science job opportunities in USA are vastly based on experience in a country like USA. The various jobs are placed at different levels that are as follows:
1. Junior/Entry-Level Jobs
The scope for USA based data science jobs is vast and employs hundreds every year. Data science jobs for freshers in USA employ graduates from master programs in disciplines related to data science, a bachelor's degree holder in the relevant field can also land entry-level data science jobs in the US. Since they are highly sought-after careers, the portfolio of candidates with no experience must be strong. High-value projects and internships are of great value to conveying your abilities to your prospective employer and help you get the best-paid data scientist jobs in USA
2. Mid-Level Jobs
Most companies consider data science professionals with 2 to 6 years of experience for mid-level jobs and a suitable certification. The job expects the candidates to possess in-depth knowledge of programming languages, statistical tools, data visualization, and applied mathematics. The responsibilities a mid-level data science professional has to fulfill are:
- Development of software applications as needed by a client
- Utilize multiple data management tools to organize relevant information and make decisions.
3. Advanced Level Jobs
The experts with experience of more than 1-2 years qualify for advanced-level data science jobs in the USA. The number of data scientist jobs in USA for Indians increases with the increase in experience. The roles include principal data scientist, senior business analytics manager, senior machine learning engineer, and data science director. You can jump to the advanced levels by doing an online Data Science Bootcamp in the USA. Data science jobs in USA salary increases with the advanced levels of certification acquired by the candidate.
Remote/Freelance Data Science Jobs in the US
Freelance data science jobs in USA salary allow the professional to work at his convenience of time and place. They find work through the network of their connection in the field, and they compete with professionals of varied experience levels. They can work with multiple clients over a period or sign a contract to work for a single client for a project collaborating with their full-time employees. On average, data science jobs in USA salary for a freelancer in the US makes 135,000 dollars a year.
The Best Cities for Data Science Jobs in the US
The US is one of the countries leading the tech industry and houses global companies that offer ample job related to data science in USA. Let us look at the top five cities and companies offering high-paying data science jobs with visa sponsorship.
| City | Average salary per year |
|---|---|
New York | $152,819 |
San Francisco | $137,748 |
Austin | $124,712 |
Irvine | $119,724 |
Atlanta | $116,544 |
Washington | $111,034 |
Houston | $105,775 |
Los Angeles | $97,720 |
What are Data Scientist Skills Required by US Employers?
Jobs in data science USA demands an extensive skill set that accommodates employers' requirements and expectations. If you are a fresher looking for the highest paying jobs in data science USA, your first approach towards the job hunt is to make sure you carry a strong prowess of varying skills. Here are the top data scientist skills required by employers in USA:
1. Machine Learning
Machine learning is instrumental in building a data science product to analyze bulk data involving several tags and parameters. Data science jobs for freshers USA employ the ones with the skills more quickly. It has automated systems for data processing, which removes the requirement for manual operations. Data science jobs in USA for freshers salary need to possess this skill to enter the field of data analysis.
2. Statistics
It is at the core of building a tool for data analysis, as it includes mathematical models, which form the basis of data processing. It involves complex calculations applied to data collected and refined to conclude.
3. Python Programming
Python is a computer language with built-in mathematical libraries and functions to write algorithms for data processing tools. Python allows a data science professional to create user-friendly tools to process extensive data.
4. Data analysis
Data analysis is a part of data science that includes collecting, refining, and extracting meaningful interpretations from numerical data. Data science online jobs US is a higher category job and is highly paid in the US. For a data scientist, data analytical skills are elemental.
5. Algorithms
These are codes that execute mathematical functions. The most common data science algorithms include linear regression, logistic regression, decision trees, Naive Bayes, K-Nearest neighbors, support vector machines, K-Means clustering, Principal component analysis and neural networks. Data science jobs salary in US for the one proficient in these algorithms spike as per their experience.
6. Computer science
The elements of computer science, including coding, software testing, and validation, are instrumental for data science jobs in US. It is a single phrase for all the aspects of computing skills required for the everyday task of a data science professional.
7. Data visualization
Data Visualization pertains to translating numerical data into pictorial representations, such as graphs, charts, bars, and other visual aids. Making data processing faster and making critical decisions in real-time is essential. Data science USA jobs have more significant opportunities for those prevalent in data visualization.
8. Statistical Modeling
It refers to creating a mathematical model based on a data set with known results and interpretations. Data science professionals need this to create prototypes for random data sets with unknown results to fit into a model and give meaningful results with valuable implications.
9. Predictive Modeling
It is a data-mining technology used to create and predict future outcomes based on current and past data. It is one of the skills necessary for data science jobs in USA with the responsibility of developing models and writing codes for tools that predict possible outcomes for a given data set. The selectors for the data scientist jobs in United States look out for these skills specifically once hiring the team.
10. Statistical Analysis System
SAS or statistical analysis system is a suite of solutions that help identify and analyze large sets of data. It allows businesses to interpret data and come to conclusions and strategic plans to improve business performance. SAS can help perform a number of tasks including data entry, report writing and statistical and mathematical analysis, planning and forecasting, and decision support.
Education Requirements to Get Data Science Jobs in America
The minimum educational qualification required for data science jobs in the US is a degree in data science, computer science, or a related field. For example, a bachelor of science in computing, a bachelor of engineering in computer science and applications. High-profile positions in top companies expect freshers to gain experience through internships or projects in reputed companies or institutes. However, some companies look for master's degree holders for even entry-level jobs.
Top Certifications to Get Data Science Jobs in the US
While many institutes in the US offer high-value courses for data science professionals at different levels, the candidates must know the course structures in detail and choose the most useful for their needs. Here are the top 5 online data science courses in the US.
1. Professional data engineer by Google Cloud
It is one of the prestigious certifications that endorses the knowledge of data science professionals in designing, building, operationalizing and maintaining data processing systems. The certification test can be taken either online from remote locations or onsite test centers. The validity of the certificate is 2 years from the date of certification and must be renewed to retain its credibility.
2. Professional certificate in data science from Harvard University
It is an introductory data science course available on the E-learning platform. The course teaches R-programming, which has wide applications in various industries. Candidates also gain experience in data visualization and data wrangling. In addition, it also enhances statistical skills and machine learning.
3. Data Science Professional Certificate by IBM
The IBM Data Science Professional Certificate is a comprehensive program aimed at helping individuals develop skills and knowledge in data science. It is a series of nine courses that cover a range of topics including open-source tools and libraries, data analysis, data visualization, hypothesis testing, and machine learning. The program is designed for beginners with little or no prior experience in data science, as well as for professionals looking to expand their knowledge and skills.
4. Microsoft Certified: Azure Data Scientist Associate
The Microsoft Certified: Azure Data Scientist Associate certification is a professional-level certification that demonstrates the ability to use Microsoft Azure data science technologies to build and deploy machine learning models. The certification covers a range of skills and competencies, including data engineering, data visualization, machine learning, and data science modeling.
5. SAS Certified AI and Machine Learning Professional
The SAS Certified AI and Machine Learning Professional certification is a professional level certification program designed to validate the skills and knowledge of individuals in the field of artificial intelligence and machine learning. The certification aims to recognize individuals who have hands-on experience in using SAS software for advanced analytics, modeling and machine learning tasks.
5 Steps to Landing Your First Data Scientist Job in the USA
Step 1: Ensure you have a solid foundation of the data science basics
Include your bachelor's degree in data science or a related field and your performance in the program. Highlight your favorite subjects and your interests related to them. Highlighting the foundation may help to get data science entry-level jobs USA.
Step 2: Build a relevant portfolio
Your portfolio speaks of your capabilities outside the curriculum you had during college. Hence, include co-curricular achievements, internships, projects, and advanced, additional courses taken to enhance your technical skills.
Step 3: Develop an online presence
Create an appealing profile on career platforms such as LinkedIn, and highlight your experiences.
Step 4: Make use of job-hunting tools
Many online portals post job openings. Sign up for them and apply to companies that provide the best opportunities to build your career.
Step 5: Tailor your resume to the job you are applying for
Reviewing your application before applying for a position and revising it according to the job title and company helps you create a good impression of your choice.
How to Get Visa Sponsorship for Data Scientist Jobs: Overview
Data science professionals with a job offer in the US can obtain a visa in the following ways
1. Office transfer: Join a multinational company in your country and attain transfer to its US office.
2. F-Visa: Join a university program, join a US company and apply for an extension.
3. H-1B visa: For specialized professionals with an offer from a US company, an H1B visa offers three years of permit with an increment of another three years.
4. J1 visa: It is an employee exchange program that permits the professional for a fixed period of the program.
5. Q visa: Q visa, also known as a cultural exchange visa, is for professionals who qualify for training from the US office and permits for up to 15 months.
How to Get Data Science Jobs in the US
1. Earn a degree
A bachelor's degree in computer science, data science, or related fields is the minimum prerequisite for data science jobs in the US. However, many companies prefer master's degree holders. Therefore, consider gaining higher education.
2. Gain certification
Take additional courses to enhance your technical skills and build an appealing profile.
3. Experience
During your degree course, take up an internship from a high-profile company or research institute and contribute to projects that enhance your technical skills for better jobs in data science in USA.
Conclusion
Data science is a fast-growing field with the potential of creating ample employment opportunities. It's the future of every country and the entire science world. The USA is one of the countries that offer high-paying jobs in data science and you can definitely try a chance at the data scientist position. Taking up an AI Engineer Bootcamp will help you even to get into the freelance world. If you're interested in making a career in the field of Data Science, then we recommend you start with developing new skills, honing the existing ones, gain insights into the trending technologies, keep an eye on jobs and researching the top companies that are hiring at the time.
Frequently Asked Questions (FAQs)
1. Which job search portals are best for Data Scientists in the USA?
The best job search portals for the data scientists in the USA are Y-combinator, Utapped.io, Angel link, Datajobs.com, and R-users.
2. What are the selection criteria for Data Scientist in a FAANG/MAANG company in the US?
The data structure, algorithms, computer networks, System designs Programming languages Python and C++ are the selection criteria for jobs for data scientists in USA.
3. To get shortlisted at US companies, what should a Data Scientist include on their resume in the US?
The selling points for data science jobs include educational qualifications, projects, internships, and relevant experience.
4. In the USA, can anybody become a Data Scientist?
No. A bachelor's or master's degree holder with relevant experience in the field qualifies to become a data scientist and get the best data science jobs in USA.
5. Is a Data Scientist well-paid in the USA?
Yes, the data scientist jobs in United States are well paid compared to other countries.
6. Do Data Scientists have a future in the USA?
Yes, they have a great scope in the future. The average salary of a data analyst is far more in US than in other countries.
7. Which is the best place to learn Data Science in the USA?
The best ones are the top universities, such as Harvard and Stanford. However, many online institutes offer short-term specialization courses with high-quality study materials.
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