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Data Science Jobs in USA with Visa Sponsorship


September 28th, 2023 at 05:27 am

Data Science Jobs in USA with Visa Sponsorship

Visa-sponsoring data scientist employment in the US offers the door to a world of opportunities for professional development. They provide talented individuals the ability to work on brand-new initiatives, collaborate with specialists from around the globe, and pick up new skills.

Making sure you are prepared for the application procedure and that you match the standards is nevertheless crucial. You can go on an exciting journey in the frenzied field of data science, learn about other cultures, and leave your mark on the world by selecting a place depending on your career objectives and skills.

Data Science Jobs

In data science employment, advanced data analysis methods, statistical modeling, and machine learning algorithms are used to sift through massive, complicated datasets in search of patterns and insights. However, they apply their knowledge to solve issues in the real world, make data-driven decisions, assist in the creation of prediction models, and more.

Salary

How much money can a data scientist expect to make in the US? The annual salary range for a data scientist in the United States is between $125,285 and $189,481. It ranges from $53.67 to $81.17 per hour. But it’s crucial to understand that the term “data scientist” refers to a variety of positions. Therefore, their remuneration is based on the industry they are in.

High Paying Data Science Jobs

Data scientists are essential to numerous businesses in the United States. They assist businesses in making data-driven decisions, resolving challenging issues, and gaining a competitive edge. Here are some typical categories of data scientists in the United States, even though data science is a large field that is always evolving:

1. Intelligence Analyst

Salary Range: $54,786.00 – $54,786.00 per year

A high school diploma, GED, or bachelor’s degree is required for this data science position. However, paying off your debt and receiving health insurance are benefits. Additionally, you must apply knowledge and contribute to its improvement.

2. Template Specialist

Salary range: $22.14 – $28.78 an hour

This job has benefits like matching your 403, providing unemployment insurance, and paying for your health insurance. Among other things, loans are not repaid. Additionally, you need to build up and maintain resource and provider models. Only three years of work experience and a high school diploma or GED are required.

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3. Marketing Insights Manager

Salary range: $184,000 – $257,000 a year

Speaking with others, giving effective presentations, and having a track record of stating your case are all prerequisites. and have ten years of employment. Visit Indeed to submit your application.

4. AI & Machine Learning Engineer

Salary range: $74,400 – $171,100 a year

They utilize data to create models, do statistical analysis, hone and improve systems, and more. They want to create instruments that can educate themselves and advance artificial intelligence. But this field has a lot of positive aspects.

5. Data Scientist

Salary Range: $88,000 – $121,000 a year

A data scientist’s function and duties include gathering data from various sources, utilizing machine learning technologies to clean, validate, and organize the data, searching the data for information and trends, creating prediction systems, properly presenting the data, and generating recommendations.

6. Lead Data Scientist

Salary range: $132,250 – $260,000 a year

Dental insurance, disability insurance, employee savings, and other perks are among them. However, they are responsible for project planning, building analytics models, and leading the data science team.

Top Companies for Data Scientists in the United States

The following American businesses employ data scientists and compensate them well:

1. Meta

The CEO of Meta, which was founded in 2004, is Mark Zuckerberg. This business facilitates networking, community discovery, and business expansion. However, they have a variety of positions in this industry, including manager of marketing insights, manager of customer growth, manager of data science, and more.

Salary
Per Year: $76,997 – $265,188
Per month: $6,633 – $14,230

2. Capital One

Do you know that Capital One is yet another outstanding business that employs data scientists and assists with their visa applications? Well, they satisfy their demands in terms of work opportunities. Nevertheless, was founded in 1994, and Richard Fairbank serves as CEO. The freedom to choose your hours is one of the benefits.

Salary:
Yearly: $38,516 – $215,415
Per hour: $12.75 – $75.00

3. Apple Company

Tim Cook is Apple’s CEO, and the firm was founded in 1976. However, there are various positions available in the field of data science. Some of these positions are in marketing for small businesses, development of real estate, software engineering, etc.

Salary
Yearly: $39,420 – $214,868
Hour: $12.96 – $64.81

4. Google

In charge of Google is Sundar Pichai. Don’t discount anything because it was small at first. They began with just two computer science students working out of a dorm room at a university, but today they employ thousands of people and have offices all over the world. You might be one of them. The cost was also extremely expensive. Data center workers, tech program managers, and other positions are among them.

Salary
Yearly: $50,000 – $232,119
Monthly: $5,000 – $28,460

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Data Science Roles and Responsibilities

Some responsibilities and tasks of a data science job include:

  • Data mining: the practice of gathering pertinent information from many sources
  • Also, selecting characteristics with machine learning, and enhancing classifiers
  • Next, preprocessing is required for both structured and unstructured data.
  • Moreover, improving data collection to enable more thorough analyses
  • Besides that, transforming and verifying the data to ensure its accuracy.
  • Additionally, analysis of massive data sets to look for trends and solutions.
  • Similarly, creating machine learning prediction methods and algorithms
  • Likewise, a detailed explanation of the analysis’s findings
  • Above all, supplying strategies for resolving business issues by collaborating with the IT and business teams.

Requirements Data Science Jobs

Since data science is a large area with numerous different job kinds, each field has various prerequisites. But these are the prerequisites in general:

  • 1-3 years of job experience.
  • Also, a bachelor’s degree or higher in an area relevant to the work, such as math, statistics, computer science, data science, or another.
  • Lastly, courses in a significant topic are the same.

How to Apply

The application is simple to locate, however here is some advice on how to complete it:

  • Revise your resume to highlight your data science expertise.
  • Next, look for positions on career portals and online job boards that sponsor visas.
  • Also, attend events about your field and meet up with others who work in it.
  • Apply online for positions that interest you by following the application procedures.
  • Prepare for interviews by practicing questions for experts.
  • Speak with an immigration attorney who focuses on work-based visas.
  • Get all the documents you require, such as recommendation letters and transcripts.
  • Your employer will apply for your visa as soon as you receive a job offer.
  • Plan your relocation, including your new residence and travel arrangements.
  • Follow your visa’s guidelines and inform your employer of any changes.
  • Consider obtaining a green card if you intend to stay for an extended period.
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Best Online Site to Apply for Data Science Jobs

Indeed.com
UKHired.com
LinkedIn.com
Glassdoor
Workopolis.com
Jobtody.com

Frequently Asked Questions

What is the work of a data scientist?

Data scientists utilize machine learning to classify, aggregate, and predict models using data.

Is Python required for data science?

You can use either Python or R as a data scientist. Each tongue possesses both positive and negative traits. Both are frequently employed in corporate settings.

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