Data science jobs with visa sponsorship in USA are a gateway to a world of opportunities and professional growth. They allow talented individuals to contribute to innovative projects, collaborate with experts worldwide, and broaden their horizons.
However, it’s essential to meet the eligibility criteria and be well-prepared for the application process.
By considering the destination that aligns with your career goals and qualifications, you can embark on an exciting journey in the dynamic field of data science while exploring new cultures and making a global impact.
What Is Data Science Jobs?
Data science jobs involve the application of advanced data analysis techniques, statistical modeling, and machine learning algorithms to extract valuable insights and patterns from vast and complex datasets.
However, they use their skills to solve real-world problems, make data-driven decisions, and contribute to the development of predictive models and more.
Salary of Data Science Jobs With Visa Sponsorship in USA
How much does a Data Scientist make in the United States? The average salary for a data scientist is $125,285 – $ 189,481 per year in the United States. While the per hour is $53.67 – $81.17.
However, it is important to know that there are different fields under this career data scientist job. So, their salary is based on the field you are in.
Salaries By Years of Experience
The salary is based on your skills and years of experience. So, you can get paid high if you have more experience in this job. However, below are Salaries by years of experience in the United States Data science jobs:
| Years of experience | Per hour |
| Less than 1 year | $45.39 |
| 1-2 years | $30.33 |
| 3-5 years | $61.84 |
| 6-9 years | $50.44 |
| More than 10 years | $81.17 |
High Paying Data Science Jobs with Visa Sponsorship
Data scientists in the United States play a critical role in various industries, helping organizations make data-driven decisions, solve complex problems, and gain competitive advantages. While the field of data science is diverse and evolving, here are some common types of data scientists you can find in the United States:
Intelligence Analyst
Salary Range: $54,786.00 – $54,786.00 per year
This job is under data science job that requires a high school diploma GED or bachelor’s degree. However, the benefit is loan forgiveness and health insurance. You must also be assisting in developing and implementing intelligence.
Template Specialist
Salary range: $22.14 – $28.78 an hour
Some of the benefits of this job include 403 matching, disability insurance, and health insurance. Loan forgiveness, and more. Furthermore, you are to configure and maintain provider and resource templates. All that is required includes a high school diploma or GED and 3 years of experience.
Marketing Insights Manager
Salary range: $184,000 – $257,000 a year
Qualifications include good communication and presenting skills with a proven track record of delivering concisely. And also 10 years of experience. You can visit Indeed to apply if you are interested.
AI & Machine Learning Engineer
Salary range: $74,400 – $171,100 a year
They work with data to create models, perform statistical analysis, and train and retrain systems to optimize performance. Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence. However, there are lots of benefits to enjoy in this field.
Data Scientist
Salary Range: $88,000 – $121,000 a year
The role of data scientist and responsibilities include extracting data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, analyzing the data for information and patterns, developing prediction systems, clearly presenting the data, and proposing solutions.
Lead Data Scientist
Salary range: $132,250 – $260,000 a year
Benefits include dental insurance, disability, employee discounts, etc. However, their roles are to manage the data science team, plan projects, and build analytics models.
Some Top Companies for Data Scientists In United States
Below are high-paying companies that offer data scientist jobs in the USA:
Salary
- Yealy: $56,731 – $235,192
- Hour: $15.65 – $63.83
LinkedIn is the biggest platform for professionals worldwide, designed to open up economic possibilities for everyone in the global workforce. Their tools assist individuals in forming influential professional relationships, uncovering exciting job prospects, developing essential skills, and obtaining valuable knowledge regularly. Additionally, they are dedicated to empowering their staff by supporting their personal growth.
Meta
Salary
- Per Year: $76,997 – $265,188
- Per month: $6,633 – $14,230
Mark Zuckerberg is the CEO of Meta which was founded in 2004/ However, this company helps people connect, find communities, and grow businesses. However, they offer different jobs in this field which include marketing insights manager, customer growth, data science manager, and more.
Capital One
Salary:
- Yearly: $38,516 – $215,415
- Per hour: $12.75 – $75.00
Are you aware Capital One is another amazing company that offers data science jobs with visa sponsorship? Well, they meet personal satisfaction when it comes to job offers. However, was founded in 1994 and the CEO is Richard Fairbank. The benefits include a flexible schedule and insurance.
Apple Company
Salary
- Yearly: $39,420 – $214,868
- Hour: $12.96 – $64.81
Time Cook is the CEO of Apple company which was founded in 1976. However, there are different job offers in the data science field. Some of these jobs include business marketing, real estate and development, software engineering, etc.
Salary
- Yearly: $50,000 – $232,119
- Monthly: $5,000 – $28,460
Sundar Pichai CEO of Google. Don’t belittle the beginning of anything as they started from two computer science students in the university dorm room but now, they have thousands of employees and offices around the world and you can be one of their employees. Furthermore, they paid so high. Some of these jobs include tech program manager, data center technician, and more.
Other Top Companies with Data Science Jobs with High Paying Salaries
| Company Name | Salary per hour | Yearly |
| Microsoft | $13.25 – $63.10 | $44,900 – $209,843 |
| Amazon.com | $13.00 – $57.21 | $30,600 – $172,902 |
| McKinsey & Company | $12.80 – $90.66 | $54,113 – $240,000 |
| Intel Corporation | $13.73 – $70.00 | $63,335 – $216,437 |
| Accenture | $13.00 – $80.85 | $41,473 – $198,348 |
Highest-paying Cities for Data Scientists Near the United States
There are some highest paying cities you can go to for data scientistic jobs close to the US, However, below are some of the cities so far:
Palo Alto, CA
How much does a Data Scientist make in Palo Alto, CA? The average salary for a data scientist is $71.18 – $98.72 per hour in Palo Alto, CA. However, this was updated on September 11, 2023. While the average per year is range $166,155 to $230,451.
However, some of their benefits include a salary flexible schedule, stock options, commuter assistance, and more.
Bellevue, WA
How much does a Data Scientist make in Bellevue, WA? The average salary for a data scientist is $62.56 – $104 per hour in Bellevue, WA. While the per year annual fee is $146,039 – $243,020. However, there are also benefits attached to this salary like disability insurance, employee discounts, paid time off, and more.
Redmond, WA
The average salary for a data scientist is $60.89 – $79.78 per hour in Redmond, WA. While the yearly range is $142,138 – $186,238. However, there are benefits attached to this salary.
Data scientist salary in Seattle, WA
The average salary for a data scientist is $59.38 – $85.28 per hour in Seattle, WA. Moreover, the yearly range is $138,615 – $199,082, There are lots of benefits to enjoy as well.
New York, NY
NY is an amazing city to stay and they are one of the best that pays high when it comes to salary. For a data scientist, their salary is $54.39 – $86.11 per hour while the per year range is $126,974 – $201,025.
Boston, MA
How much does a Data Scientist make in Boston, MA? However, the average salary for a data scientist is $54.08 – $76.37 per hour while the per year ranges from $126,244 – $178,285.
Austin, TX
Welcome to Austin, TX where the per-hour salary for a data scientist range is $53.45 – $77.01. while the yearly is $124,775 – $179,784. However, there are benefits attached to the salary which are insurance covered, paid time off, and more.
Data scientist salary in Chicago
- Salary per hour $50.61 – $74.10
- Per year: $118,152 – $172,972
Atlanta, GA
This is another amazing city in the US. However, there are experience-paid salaries and also some benefits attached to it. The average salary for a data scientist is $48.35 – $69.36 per hour while the yearly range is $112,863 – $161,921 in Atlanta, GA.
The Most Common Benefits For Data Scientists
Here are the most common benefits of a data scientist job:
- 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
Data Science Roles and Responsibilities
Duties and responsibilities of a data science job include:
- Extracting valuable data from various sources (data mining).
- Utilizing machine learning for feature selection and classifier optimization.
- Preprocessing both structured and unstructured data.
- Improving data collection methods for comprehensive analytics.
- Ensuring data integrity through processing and validation.
- Analyzing extensive data sets to identify patterns and solutions.
- Creating prediction systems and machine learning algorithms.
- Clear presentation of analytical results.
- Offering solutions for addressing business challenges.
- Collaborating with both Business and IT teams.
Requirements Data Science Jobs
Requirements depend on the field as data science is a broad field with different careers. However, the general requirements include:
- 1 to 3 years of experience
- Bachelor’s degree (or higher degree) in mathematics, statistics, computer science, data science, or a field directly related to the position.
- Courses equivalent to a major field of study
Guide on How to Apply For Data Science Jobs with Visa Sponsorship in USA
The application is very easy to access, however, below is a guide on how to apply:
- Update your resume to highlight your data science skills and qualifications.
- Search for jobs that mention visa sponsorship on job websites and platforms.
- Network with professionals in your field and attend relevant events.
- Apply online for suitable positions, following application instructions.
- Prepare for interviews and practice technical questions.
- Understand different visa types like H-1B, L-1, or O-1 and their requirements.
- Research companies known for sponsoring visas.
- Consult with an immigration attorney specializing in employment-based visas.
- Gather required documents such as transcripts and recommendation letters.
- Once you have a job offer, your employer will start the visa application process.
- Be patient and check USCIS processing times regularly.
- Attend a visa interview if required by the specific visa type.
- Plan your relocation, including housing and travel arrangements.
- Comply with visa regulations and keep your employer informed of changes.
- Consider pursuing permanent residency (green card) for a long-term stay.
Stay updated on immigration policies and regulations, which can change over time. Consulting an attorney is recommended for a successful visa sponsorship process.
Types of Visas for Data Science Jobs in USA
Several types of visas can be applicable for data science jobs in the USA, depending on your qualifications, the job offer, and your specific circumstances. Here are some of the common visa types that are used for employment in data science positions:
H-1B Visa
The H-1B visa is one of the most common visas for highly skilled workers. It’s often used for technology and data science professionals. To qualify, you typically need at least a bachelor’s degree in a related field and a job offer from a U.S. employer. The employer must also sponsor your H-1B visa.
L-1 Visa
The L-1 visa is for intracompany transferees. If you work for a multinational company and are transferring to a U.S. office, you may be eligible for this visa. There are two types of L-1 visas: L-1A for managers and executives and L-1B for specialized knowledge employees. While it’s not specific to data science, it can be used for such positions within a multinational corporation.
O-1 Visa
The O-1 visa is for individuals with extraordinary ability or achievement in their field. If you have exceptional expertise and a substantial track record in data science, you may be eligible for this visa. It requires an employer or agent to sponsor you and provide evidence of your extraordinary abilities.
TN Visa
The TN visa is available for citizens of Canada and Mexico under the United States-Mexico-Canada Agreement (USMCA, formerly NAFTA). Data scientists may qualify under the category of “Computer Systems Analysts” or a related occupation.
However, consulting with an immigration attorney or your prospective employer’s HR department can guide the most suitable visa for your situation.
Best Online Site to Apply for Data Science Job with Visa Sponsorship Shop
There are different online sites to apply for data science jobs with visa sponsorship to apply from. Some of these online platforms include:
- Indeed.com
- UKHired.com
- LinkedIn.com
- Glassdoor
- Workopolis.com
- Jobtody.com, etc.
FAQs
What Does a data scientist do?
Data scientists use machine learning to classify or categorize data or to make predictions related to the models.
Is Python necessary for data science?
It’s possible to work as a data scientist using either Python or R. Each language has its strengths and weaknesses. Both are widely used in the industry.
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