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

2023 is a challenging year for data scientists, with fierce competition from a vast pool of talented freelancers. To succeed, freelance data scientists must be versatile and adaptable, staying current with the latest tools, technologies, and methodologies. Establishing an efficient freelance workflow is essential for managing projects, deadlines, and client communications effectively. Despite the competition, the growing demand for data-driven insights across various industries presents numerous opportunities.

By exploring different types of gigs, freelance data scientists can leverage their expertise and build successful careers. Here are nine types of gigs that can help you expand your skillset and explore new opportunities.

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 varies based on complexity, dataset size, and customization, typically ranging from a few hundred to several thousand dollars. To set a competitive price as a freelancer, consider your experience, market rates, and project demands while ensuring value for your clients.

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 through a Data Science online course.

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

In data science projects, the initial task is data cleaning, converting data into a usable format for algorithms. This tedious activity often leads data scientists to hire others for the task, allowing them to focus on modeling. Data cleaning requires basic data manipulation skills, identifying column relationships, and recognizing anomalies and trends.

How much can you charge for data purification?

For simpler projects with small datasets and basic cleaning, a data scientist may charge $50-$100 per hour. Complex projects involving large datasets and advanced techniques like machine learning can cost $200-$300 per hour. Alternatively, some data scientists charge flat fees, ranging from a few hundred to several thousand dollars. For instance, a basic cleaning project might cost $500-$1,000, while a complex machine learning project could be $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. To truly understand how AI tackles complex challenges, a machine learning course can provide insight into the algorithms and techniques behind these smart problem-solving systems.

How much can you charge for machine learning?

The amount you can charge for machine learning projects depends on your expertise, project complexity, and the client’s budget. Beginners might charge $50-$100 per hour, while experienced professionals can charge $200-$300 per hour. For larger projects, flat fees can range from $1,000 to $10,000 or more, based on the project’s complexity and required effort.

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 position involves customer research for model design and data extraction, including surveys, assessments, prototypes, and solutions. It’s ideal if you enjoy working with data, and helping customers get the products they need. Before starting, ask clients about their goals, data sources, desired outcomes, timeline, and budget to ensure clear expectations.

How much can you charge for investigation?

Experienced data scientists with a strong portfolio can charge $200-$300 per hour, while larger, complex projects may command flat fees of $10,000 to $50,000 or more. Beginners typically charge $50-$100 per hour or a few thousand dollars for smaller projects.

7. Consultation

The next job is consulting, mainly for seasoned data scientists or those in academia. Clients seek your expertise on approaches, solutions, and analysis. In-demand freelancing skills include advanced analytics, machine learning, and data engineering. This high-paying assignment allows you to set your hourly fee, which clients will pay if deemed reasonable.

How much can you charge for consultation?

Data science consultants typically charge $100 to $500 per hour. Entry-level consultants start at $100 to $150 per hour, while experienced consultants can command $200 to $500 per hour or more.

8. Content Creation

Data scientists can monetize content creation through blog posts, tutorials, YouTube videos, eBooks, online courses, and consulting services. Pricing varies by content type, expertise, and time investment. Blog posts take hours, while eBooks or courses can take months. For effective content marketing tips, understand your audience, offer valuable insights, promote through various channels, and engage with your audience.

How much can you charge for content creation?

As a starting point, you could charge $100 to $200 per hour for content creation services. Pricing varies based on experience, expertise, and client needs. Research what other data scientists charge for similar services and adjust your rates accordingly.

9. Actuarial Scientist 

Actuarial scientists uniquely combine data analysis to measure and manage outcomes, requiring a thorough understanding of mathematical and statistical algorithms. A freelancer with a strong math background and expertise in data assessment is well-suited for this role.

How much can you charge for being an actuarial scientist?

The average salary for an actuarial scientist in the U.S. is around $93,000 per year or $49 per hour. This can vary based on experience, location, and specialization. Freelance actuarial scientists with a strong track record can command higher rates, typically ranging from $100 to $500 per hour, depending on project complexity and scope.

Summary

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.