Are you aware the average salary for a data scientist is $124,360 to $192,450 per year in the United States? Well, yes, it is and there are more to it. You can also enjoy the benefits of insurance and more and have access to free visa sponsors by the company hiring you. Come with me, I have something for you.
Picture yourself diving into heaps of financial data, finding patterns, and creating models that predict the future of payments. Working as a Data Scientist with Visa sponsorship opens up exciting chances for growth and innovation.
But what exactly does being a data expert with Visa backing involve? Keep scrolling down for more details on the salary base, how to apply, job description, and more.
What Are Data Scientists?
Data scientists are like detectives who solve puzzles with numbers. They dig into big piles of data to find valuable information and trends that help companies make smart decisions.
However, they use math, statistics, and computer skills to unlock secrets hidden in the data. Essentially, they’re the wizards who turn raw data into useful insights businesses can use to succeed.
Data Scientists Salaries
What do you think about data scientist’s salary per month will look like? In the United States, the average salary for a data scientist is $124,360 to $192,450 per year. You also earn up to $53.27 to $82.44 per hour and other benefits attached.
| Type of Jobs | Per-hour salary range | Daily Salary range | Weekly salary range | Monthly salary range | Yearly salary range |
| Data Scientists | $53.27 to $82.44 | $551-$853 | $2,275-$3,521 | $8,805-$13,626 | $124,360 to $192,450 |
The salaries of data scientists can vary depending on factors like experience, location, and the specific industry or company they work for. On average, however, data scientists tend to earn competitive salaries due to the high demand for their skills.
Data Scientist Salary Per Month by years of experience
As I have stated, you can be paid depending on the years of experience you have as a data scientist, and below are the average salary ranges on years of experience:
| Years of Experience | Per month |
| 1 to 2 years | $7,226 |
| 3 to 5 years | $10, 146 |
| 6 to 10 years | $13,626 |
High-Paying Companies for Data Scientists in the United States
Some top companies offering this job in the USA with free visas, and below are some of these companies’ direct links to apply from their website:
| Company Name | Per hour salary | Per year salary | Monthly salary range | Website to apply from | Benefits |
| Apple | $74.24- $133 | $173,312- $266,000 | $12,271- $22,167 | http://www.apple.com/ | Health insurance, paid time off, etc. |
| Capital One | $14.50-$75.00 | $168,979- $271,000 | https://www.capitalonecareers.com/ | Flexible schedule | |
| Meta | $71.11-$148 | $166,004- $296,000 | $11,753-$24,667 | http://www.metacareers.com/ | Health insurance |
| Intel Corporation | $65.66- $126 | $153,275-$251,000 | $10,852- $20,917 | https://jobs.intel.com/ | Health insurance |
| Walmart | $64.56-$142 | $150,719- $284,000 | $10,671- $23,667 | https://careers.walmart.com/ | Retirement plan, employee discount, etc. |
| $650- $1,164 | $146,701-$291,000 | $62.84- $146 | http://goo.gle/3ygdkgv | Health insurance | |
| Cisco | $61.00- $136 | $142,405- $272,000 | http://www.cisco.com/ | Vision insurance, dental, paid time off, etc | |
| Microsoft | $14.00- $63.34 | $44,900-$214,433 | – | http://www.microsoft.com/ | Health insurance |
Highest Paying Cities for Data Scientists near the United States
| Cities | Salaries |
| Palo Alto, CA | $11,939 per month |
| Bellevue, WA | $11,874 per month |
| Redmond, WA | $10,076 per month |
| Seattle, WA | $9,834 per month |
| Boston, MA | $9,166 per month |
| New York, NY | $9,055 per month |
| Washington, DC | $8,402 per month |
| Irvine, CA | $8,218 per month |
| Chicago, IL | $7,932 per month |
High Paying Data Scientist Jobs
Machine Learning Engineer
Salary: $165,535 per year on average
Explanation: Machine Learning Engineers develop algorithms and models that enable computers to learn and make predictions from data.
They work with large datasets to train and optimize machine learning models, and they often collaborate with data scientists and software engineers to deploy these models into production systems.
Machine Learning Engineers are in high demand due to the increasing importance of machine learning in various industries, including technology, finance, healthcare, and more.
Principal Scientist
Salary: $152,346 per year on average
Explanation: Principal Scientists lead and oversee research projects within their respective fields. They are often experts in their domains and are responsible for designing experiments, analyzing data, and drawing conclusions to advance scientific knowledge.
Principal Scientists may work in academia, government research institutions, or private companies, and they typically have advanced degrees and extensive experience in their areas of expertise.
Data Engineer
Salary: $128,016 per year on average
Explanation: Data Engineers design, build, and maintain systems for storing and managing data. They develop infrastructure to handle large volumes of data efficiently, ensuring data quality, reliability, and security.
Data Engineers also work closely with data scientists and analysts to design data pipelines that enable the extraction, transformation, and loading of data for analysis and reporting.
They often have strong programming skills and expertise in database technologies, such as SQL, NoSQL, and distributed computing frameworks like Apache Hadoop and Spark.
Research Scientist
Salary: $101,370 per year on average
Explanation: Research Scientists conduct scientific research and experiments to expand knowledge in their respective fields. They formulate hypotheses, design experiments, collect and analyze data, and interpret results to draw conclusions.
Research Scientists may work in various domains, including biology, chemistry, physics, social sciences, and more. They often publish their findings in academic journals and collaborate with other scientists and researchers to advance knowledge and solve complex problems.
Software Engineer
Salary: $105,504 per year on average
Explanation: Software Engineers design, develop, and maintain software applications and systems. They write code, debug programs, and test software to ensure it meets requirements and performs efficiently.
Software Engineers work across various industries and may specialize in areas such as web development, mobile app development, cloud computing, or embedded systems.
They collaborate with cross-functional teams, including designers, product managers, and quality assurance testers, to deliver high-quality software products.
Data Analyst
Salary: $77,500 per year on average
Explanation: Data Analysts analyze data to extract insights and inform business decisions. They collect, clean, and preprocess data, perform statistical analysis and data visualization, and generate reports and dashboards to communicate findings to stakeholders.
Data Analysts may work in a wide range of industries, including marketing, finance, healthcare, and e-commerce. They often use tools like Excel, SQL, Python, R, and visualization tools like Tableau or Power BI to analyze data and derive actionable insights.
How to Become a Data Scientist
Begin by pursuing an education. Data scientists are typically expected to have at least a bachelor’s degree in data science, computer science, or a similar discipline. Many organizations prefer a master’s degree to improve their skills in computer programming languages, probability, and statistics.
Next, obtain experience in the field in which you want to work. While many businesses will hire data scientists directly out of college, you may need to first gain experience as a network architect, data analyst, or information security analyst.
If you want to be a senior leader, you may pursue a doctorate in data science while working full-time in a field that involves information analysis, forecasting, or computing.
The most common benefits for Data Scientists
Aside from the visa sponsorship, there are some benefits to enjoy and below are some of them:
- 401(k)
- 401(k) matching
- Adoption assistance
- Commuter assistance
- Continuing education credits
- Dental Insurance
- Disability insurance
- Employee assistance program
- Employee discount
- Employee stock purchase plan
- Flexible schedule
- Flexible spending account
- Gym membership
- Health insurance
- Health savings account
- Life insurance
- Opportunities for advancement
- Paid time off
- Parental leave
- Referral program
- Relocation assistance
- Retirement plan
- Stock options
- Tuition reimbursement
- Unlimited paid time off
- Vision insurance
- Wellness program
- Work from home
What skills help Data Scientists find jobs?
There are some skills you need to be able to have access to this job title and below are some of them:
- AI
- AWS
- Analysis skills
- Analytics
- Apache Hive
- Azure
- C++
- Communication skills
- Data analysis skills
- Data mining
- Data science
- Data visualization
Duties/Responsibilities of Data Scientist Jobs with Visa
Below are the responsibilities and duties of a data scientist employee in the United States with visa sponsorship:
- Analyzing large datasets to derive actionable insights and patterns.
- Developing and implementing predictive models to forecast trends and behaviors.
- Applying machine learning algorithms to improve fraud detection, risk assessment, and customer experience.
- Creating compelling visualizations to communicate findings and trends effectively.
- Working closely with cross-functional teams including software engineers, product managers, and business stakeholders.
- Ensuring data quality and integrity through rigorous validation and cleansing processes.
- Staying updated with the latest advancements in data science techniques and technologies.
- Adhering to regulatory standards and compliance requirements in handling sensitive financial data.
- Identifying business challenges and formulating data-driven solutions to address them.
- Presenting findings and recommendations to both technical and non-technical audiences clearly and understandably.
Which Degree is Best for a Data Scientist?
While there isn’t a one-size-fits-all answer to this question, several degree paths can lead to a successful career in data science. Some of the most common degrees pursued by data scientists include:
- Computer Science
- Statistics
- Mathematics
- Data Science
- Engineering
Finally, the best degree for a data scientist depends on your interests, career goals, and the specific skills and knowledge you want to acquire. Many successful data scientists come from diverse educational backgrounds, so it’s essential to choose a degree program that aligns with your strengths and aspirations. Additionally, gaining practical experience through internships, projects, and self-study can complement your formal education and enhance your employability as a data scientist.
Job Listing Platform
Below are some job listing platform to get this job online from:
How to Apply Online
To apply for Data Scientist jobs with Visa sponsorship online, follow these steps:
- Research: Explore job listings on career websites, company job boards, and professional networking platforms to find positions that offer Visa sponsorship for data scientists.
- Prepare Documents: Update your resume to highlight relevant skills, experience, and qualifications in data science. Craft a compelling cover letter expressing your interest in the role and your eligibility for Visa sponsorship.
- Online Application: Visit the company’s website or the job listing platform where you found the position and complete the online application form. Upload your resume and cover letter as required.
- Networking: Leverage professional networking platforms like LinkedIn to connect with recruiters and hiring managers at companies offering Visa sponsorship for data scientist roles. Engage with industry groups and attend virtual events to expand your network.
- Follow-up: After submitting your application, follow up with the hiring manager or recruiter to express your continued interest in the position. Be proactive in communicating your enthusiasm for the role and your willingness to undergo the Visa sponsorship process if selected.
- Stay Informed: Keep track of updates on your application status and be prepared for potential interviews. Stay informed about the Visa sponsorship process and be ready to provide any necessary documentation or information requested by the employer.
By following these steps and remaining proactive in your job search, you can increase your chances of securing a Data Scientist position with Visa sponsorship online.
Type of Visa Required
In the USA, for a Data Scientist job with Visa sponsorship, the most common visa type sought is the H-1B visa. This visa is for foreign workers in speciality occupations, including roles in science, technology, engineering, and mathematics (STEM). To qualify for an H-1B visa, the job must require at least a bachelor’s degree or its equivalent in a specific field related to the position.
Employers sponsor H-1B visas for qualified candidates, and the visa allows foreign workers to live and work in the USA for up to six years. However, obtaining an H-1B visa can be competitive due to annual caps on the number of visas issued.
Other visa options for Data Scientists in the USA may include the O-1 visa for individuals with extraordinary ability or achievement in their field, the EB-2 or EB-3 visas for permanent employment-based immigration, or the Optional Practical Training (OPT) program for recent graduates on F-1 student visas.
It’s essential to work closely with your prospective employer to determine the most appropriate visa pathway for your situation and to ensure compliance with US immigration laws and regulations. Employers typically handle the visa sponsorship process and provide guidance on the required documentation and procedures.
Conclusion
In conclusion, a career as a Data Scientist offers a diverse range of opportunities to work with data and drive impactful insights across industries. With competitive salaries and high demand, Data Scientists play a crucial role in leveraging data to solve complex problems, make informed decisions, and drive innovation. Whether specializing in machine learning, data engineering, or research, Data Scientists are at the forefront of harnessing the power of data to shape the future.