9 Types Of Gigs You Can Do As A Freelance Data Scientist

2023 is no doubt a tough year to be a data scientist. The world is still demanding these tech-savvy professionals, but the game has become more cutthroat than ever before.

With a sea of talented freelance data scientists, the competition is fierce!

As a freelance data scientist, you must be versatile and adaptable to succeed in this highly dynamic field. You need to constantly stay up-to-date with the latest tools, technologies, and methodologies to keep your skills relevant and in demand.

On the other hand, with the increasing demand for data-driven insights across various industries, there are numerous opportunities available for freelance data scientists to explore.

In fact, there are several types of gigs that you can take on as a freelance data scientist that can allow you to leverage your expertise and build a successful career.

So, if you’re a freelance data scientist looking to expand your skillset and explore new opportunities, read on to discover 9 types of gigs that you can do in this field.

1. Data Visualization Projects

Let’s begin with the most common type of gig you’ll encounter – projects related to data visualization that require a touch of creativity.

Numerous organizations and individuals seek the expertise of data scientists to create compelling visualizations that facilitate easy and effective communication of complex data.

Requests for developing interactive graphs and dashboards utilizing a specific technology, like Tableau, Power bi, or any other application, can be found under Gigs for Data Visualization Projects. Additionally, you could also use ETL tools to make work easier.

With the help of such tool you can easily move any amount of marketing data from Facebook Ads, Instagram Ads, Google Ads to BigQuery in a few clicks

How much can you charge for data visualization project?

The cost of a data visualization project can vary depending on factors such as complexity, size of the dataset, and the level of customization required. Generally, data visualization projects can range anywhere from a few hundred to several thousand dollars.

Some average numbers for data visualization projects are:

  • Basic charts and graphs: $200-$500
  • Interactive dashboards: $1,000-$5,000
  • Customized data visualizations: $2,000-$10,000 or more

2. Tutoring & Teaching

The next option is teaching or tutoring data science topics. If you know the fundamentals of data science or are familiar with more advanced topics, you can volunteer to teach them to others.

Coaching and project supervision are also included in this package. Teaching has proven to be the most effective technique to assist others to grasp data science and programming while also boosting your own knowledge. 

How much can you charge for tutoring & teaching?

The amount a data scientist can charge for tutoring and teaching varies widely based on factors such as their level of expertise, location, and the level of the student. Here are some average numbers for different types of tutoring/teaching:

  1. Online Courses: Data scientists who create and sell online courses can earn anywhere from a few hundred dollars to several thousand dollars per course. The price of the course will depend on the topic, length, and level of the material covered.
  2. Private Tutoring: Data scientists who offer private tutoring can charge an hourly rate that ranges from $50 to $200 or more, depending on their level of expertise and the location.
  3. Group Classes: Data scientists who offer group classes or workshops can charge anywhere from a few hundred dollars per participant to several thousand dollars, depending on the length and intensity of the course.
  4. Corporate Training: Data scientists who offer corporate training can charge anywhere from a few thousand dollars to tens of thousands of dollars for a training session or workshop, depending on the size of the company and the level of training required.

3. Data Purification

When working on a data science project, one of the initial tasks is data cleaning, which entails converting the data into a format that can be utilized to execute various algorithms later. 

Unfortunately, this is a routine and dull activity, therefore some data scientists may hire others to perform it for them so they can concentrate on modeling.

Data cleaning duties frequently necessitate a basic understanding of data manipulation, the capacity to determine the relationship between distinct columns, and the ability to recognize abnormalities and trends.

How much can you charge for data purification?

For simpler projects involving small datasets and basic cleaning and organization tasks, a data scientist may charge around $50-$100 per hour.

For more complex projects involving large datasets and advanced techniques such as machine learning, the cost may be upwards of $200-$300 per hour.

It’s important to note that some data scientists may prefer to charge a flat fee for data purification projects instead of hourly rates.

Flat fees can range from a few hundred to several thousand dollars depending on the size and complexity of the project.

For example, a project involving cleaning and organizing a small dataset with basic techniques may cost around $500-$1,000, while a more complex project involving machine learning techniques and large datasets may cost upwards of $5,000-$10,000.

4. Machine Learning

Designing, building, and developing data models is the next type of job that can help you gain more practical knowledge and a stronger portfolio.

To complete a given task in this type of gig, you’ll need to use machine learning, artificial intelligence, or big data methods.

Building bots, Object tracking system, recommendation systems, and other data science applications are examples of this.

The benefit of this type of project is that it may be extremely profitable; some projects might earn thousands of dollars, while others may demand a multi-month commitment.

How much can you charge for machine learning?

The amount you can charge for machine learning projects will depend on several factors, including your level of expertise, the complexity of the project, and the client’s budget. As a beginner, you might start by charging around $50-$100 per hour.

However, as you gain more experience and build up your portfolio, you could potentially charge upwards of $200-$300 per hour.

For larger machine learning projects, you may charge a flat fee ranging from $1,000 to $10,000 or more. Additionally, you may choose to charge based on the project’s complexity or based on the amount of time and effort required to complete it.

5. Data Science Modelling 

The act of creating a descriptive diagram of links between various types of information to be stored in a database is known as data modeling. One of the goals of data modeling is to come up with the most effective way of storing data while yet allowing full access and reporting.

The data skills required are: Programming, big data technology, experience working with dbt Cloud, management competence, math and statistics understanding, and data visualization skills are all examples of data modeling.

How much can you charge for data science modelling?

Typically, the hourly rate for data modeling ranges from $75 to $300 per hour. However, some data scientists may charge a flat rate for a project, which can range from $500 to $10,000 or more depending on the scope and complexity of the work.

For a more specific estimate, it is best to consult with a data scientist directly and discuss the details of the project, including the data involved, the desired outcome, and any specific requirements or challenges.

6. Investigation

This is a unique position that focuses on performing customer research to aid in the design of the model and data extraction. This includes surveying and assessing the results. It could also entail developing prototypes and proposing solutions to specific challenges.

This type of job may be right for you if you enjoy working with data, asking probing questions to improve the project, and assisting customers in getting the products they require. 

How much can you charge for investigation?

Experienced data scientists with a strong portfolio and a proven track record of successful machine learning projects can charge upwards of $200-$300 per hour.

For larger, more complex projects, some data scientists may charge a flat fee ranging from $10,000 to $50,000 or more.

However, for those just starting out in the field, rates may be lower, typically ranging from $50-$100 per hour or a flat fee of a few thousand dollars for a smaller project.

7. Consultation

The next job is consulting, which is primarily for seasoned data scientists or those who work in academia or research. Clients hire you as a consultant because of your experience in a particular field. They’ll ask you questions about different approaches and solutions, solicit input, and possibly conduct some analysis.

This is one of the highest-paying freelance assignments available, and you may determine your hourly fee depending on what you think is appropriate, and if the clients believe it is a reasonable price for your expertise, they will gladly pay it.

How much can you charge for consultation?

On average, data science consultants can charge anywhere from $100 to $500 per hour.

For entry-level consultants or those with less experience, rates can start at around $100 to $150 per hour.

As consultants gain more experience and expertise, they can command higher rates, ranging from $200 to $500 per hour or even more in some cases.

8. Content Creation

There are many ways to monetize content creation as a data scientist. You could create blog posts, tutorials, or YouTube videos that explain complex concepts in an accessible way.

You could also write eBooks or online courses that provide in-depth education on a particular aspect of data science. Additionally, you could offer consulting services to businesses or individuals who want to learn more about data science.

When it comes to pricing for content creation, it really depends on the type of content you’re creating, the level of expertise required, and the amount of time you need to invest.

For example, a blog post might take a few hours to write and edit, while an eBook or course could take weeks or even months to complete.

How much can you charge for content creation?

As a starting point, you could charge around $100 to $200 per hour for your content creation services. However, it’s important to note that pricing can vary widely depending on your experience, expertise, and the specific needs of your clients.

It’s always a good idea to research what other data scientists are charging for similar services and adjust your rates accordingly.

9. Actuarial Scientist 

Actuarial scientists are in a unique position because their abilities are based on data analysis in order to measure and manage outcomes. The study of actuarial science necessitates a thorough understanding of mathematical and statistical algorithms.

A freelancer with a strong background in mathematics and in-depth knowledge of how to assess data is more suited for this task.

How much can you charge for being an actuarial scientist?

The average salary for an actuarial scientist in the United States is around $93,000 per year, or about $49 per hour. However, this figure can vary widely depending on factors such as level of experience, geographic location, and industry specialization.

As a freelance actuarial scientist, you may be able to command even higher rates, particularly if you have a strong track record of delivering accurate and effective risk assessments.

Rates for freelance actuarial work can range from $100 to $500 per hour or more, depending on the complexity and scope of the project.

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As a freelance data scientist, you have the flexibility to select the projects you work on, establish your own pricing, and create a portfolio that can be utilized to apply for positions across various industries.

Get ready to explore the galaxy of data science gigs that will be flying your way! This article is your ticket to discovering some of the most prevalent jobs in the field that you can spot on websites and apply for.

Moreover, depending on your interests and goals, such as building new projects, improving your learning abilities, or making money, you can choose which of the jobs we’ve gone through best meets your needs.

You can also use Refrens to get more work and acquire great leads.

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