Here’s What Freelance Data Scientist Make Per Year

Do you have a background in data science? Are you looking for a way to make some extra money? If so, freelancing might be the right option for you! In this blog post, we will take a look at how much freelance data scientist make on average. We will also discuss some of the benefits of freelancing. So if you are interested in learning more, keep reading!

How much do freelance data scientist make

There is no definitive answer to how much freelance data scientist make. However, salaries for this profession can range from a few thousand dollars per project to hundreds of thousands of dollars per year.

The average base salary for a freelance data scientist is $85,000 per year. However, salaries can range from $40,000 to $180,000 per year, depending on experience, location, and other factors. The average freelance data scientist in the United States makes $100,235 annually. Salaries can also be significantly lower in other countries, such as the United Kingdom, where the average salary for a data scientist is around £40,000 (approximately USD 52,000).

Of course, salaries for freelance data scientists will vary depending on the specific projects they work on. Some data scientists may only work on a handful of projects each year, while others may work on dozens or even hundreds. The amount of money a data scientist can make depends on their experience and skill level. Data scientists with more experience and expertise can command higher salaries than those just starting.

Highest salaries for freelance data scientist jobs

There are a variety of data scientist job types, each with its own average hourly rate. Here is a breakdown of some common data science job types and their average freelance rates:

-Data analyst:

A data analyst is responsible for extracting, cleansing, and analyzing data. They use their findings to help organizations make better decisions. The average annual salary for a data analyst is $60,000, $31.25 an hour. This is the equivalent of $1,250/week or $5,000/month.

-Data engineer:

A data engineer is responsible for designing, building, and maintaining data architecture. This includes data warehouses, data lakes, and data pipelines. The average annual salary for a data engineer is $92,000, $48 an hour. This is the equivalent of $1,916.5/week or $7,666/month.

-Machine learning engineer:

A machine learning engineer is responsible for designing, building, and deploying machine learning models. The average annual salary for a machine learning engineer is $106,000, $55.2 an hour. This is the equivalent of $2,208/week or $8,333/month.

-Research scientist:

A research scientist is responsible for conducting scientific research. This includes designing experiments, analyzing data, and writing papers. The average annual salary for a research scientist is $80,000, $41.67 an hour. This is the equivalent of $1,666/week or $6,667/month.

-Business intelligence analyst:

A business intelligence analyst is responsible for extracting, analyzing, and visualizing data. They use their findings to help organizations make better decisions. The average annual salary for a business intelligence analyst is $75,000, $39 an hour. This is the equivalent of $1,562/week or $6,250/month.

As you can see, there is a wide range of salaries for different types of data science jobs. Although, on average, freelance data scientists can expect to earn $31.25 an hour. This is the equivalent of $1,250/week or $5,000/month and an annual salary of $60,000. However, salaries will vary depending on the job type, experience, location, and skillset.

How to find work as a freelance data scientist

When searching for work, consider long-term projects that will allow you to flex your machine learning skills. These projects will help you build your portfolio and showcase your abilities to potential clients.

Don’t be afraid to cold pitch potential clients or reach out to companies you think could benefit from your data science skills. By being proactive, you increase your chances of landing work as a freelance data scientist.

Job boards and online platforms are a great way to find work as a freelance data scientist. However, networking is also essential in finding work in this field. Attend industry events or reach out to your network of contacts to find potential projects.

Some great places to look for work as a freelance data scientist include:

– Online freelancer websites like HandyHubb, Freelancer, and Guru

– Job boards like Indeed, Monster, and Dice

– Networking at industry events or through personal contacts

Things to remember if you’re considering a freelance data scientist career

In closing, freelance data scientist salaries can vary widely. However, earning a good living as a freelance data scientist is possible with the right skills and approach. By actively searching for work on job boards and online platforms, networking with potential clients, and being proactive in your search, you can increase your chances of finding rewarding projects. With the right attitude and approach, freelancing can be a great way to earn a living as a data scientist.

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