Even though the requirement for data scientists is at an all-time high, finding a job can be frustrating. Especially if you are new to the field. Even entry-level data science positions demand some prior experience. But you need to be employed or have a strong project portfolio to obtain the experience necessary to get a job.
How can you acquire that expertise without landing a data science job? Today, freelancing is a fantastic alternative for new and experienced data scientists. You have a lot of freedom to select your assignments, manage your time, and set your own rates while working as a freelance data scientist. It is also a fantastic option for novices who want to develop real-world projects to gain more hands-on experience. Here are a few gig jobs a freelance data scientist can work on.
Types of Gig jobs A Freelance Data Scientist can do.
1.Teaching/tutoring
If you understand the fundamentals of data science or are familiar with more advanced topics, you might volunteer to teach them to others. This package also includes project monitoring and coaching. Teaching is the most effective way to help others understand data science and programming while simultaneously expanding your expertise.
You can set an hourly charge for sessions, which typically starts at $15 per hour and rises to $60 or $80 per hour. The length of the session will depend on your client's requirements.
2. Data visualization
Data visualization gigs are some of the most common types of gigs every freelance data scientist comes across. Many companies and individuals hire data scientists to produce creative visualizations that facilitate and improve data communication.
Requests for producing interactive graphs and dashboards using a certain technology, like Tableau, Power bi, or any other program, may be found under Gigs for Data Visualization Projects. Data visualization jobs often start at $58 per hour or higher, depending on experience, quality, and pace of work.
3. Building data models
The next sort of job is planning, creating, and developing data models, which can aid you in expanding your practical skills and portfolio. This job requires you to use big data, machine learning, or artificial inelegance algorithms to complete a certain assignment.
Building bots, recommendation engines, or any other particular data science application may also fall under this category. The advantage of this type of project is that it may be highly profitable; some can bring in thousands of dollars, and some may need a commitment over several months.
4. Data cleaning
Data cleansing, which involves transforming the data into a format that can be used to carry out other algorithms later, is one of the primary jobs while working on a data science project. Since this is a tedious and repetitive task, some data scientists may pay someone else to handle it so they can focus on modelling.
The ability to identify irregularities and patterns, be able to discern the link between different columns, and have a basic grasp of data manipulation is commonly required for data cleaning tasks. Depending on the difficulty of the dataset, the beginning fee for this sort of assignment ranges from $50 to $90.
5. Consultation
The following position, consulting, is often reserved for seasoned data scientists or those employed in academia or research. You become a consultant for a client because of your expertise in a certain area. They will question you on various strategies and ideas, seek feedback, and perhaps even perform some analysis. As one of the highest-paying freelance jobs in the industry, you may set your hourly rate whatever you see fit, and if the clients think it is a fair price for your level of experience, they will gladly pay it.
6. Content writer
Content writing is one of the easiest gigs a freelance data scientist can opt for. People of all skill levels seek tools to broaden their knowledge and study new subjects since data science and programming are becoming increasingly popular. They can accomplish this by reading blog posts or tech tutorials.
Many websites that provide technical content are constantly looking for contributors who can explain complicated information clearly and concisely. They frequently pay well for these pieces as well, with prices ranging from $75 to $500 and even higher depending on the length and calibre of the work.
7. Research
This gig focuses primarily on gathering data and performing consumer research that will be used to create the model. This entails conducting surveys and evaluating the findings. Additionally, it can entail developing prototypes and suggesting practical solutions to certain issues.
This kind of job can be for you if you enjoy working with data, asking questions that might improve the project, and assisting customers in getting the products they require. These jobs can pay anywhere from $50 to $200, depending on your background and the difficulty of the project.
8. Actuarial scientist
Actuarial scientists are in a special position since their skills depend on data analysis to assess and manage outcomes. Therefore, it is essential to have a solid grasp of mathematical and statistical procedures to study actuarial science.
A freelancer would better serve this job with a solid mathematics foundation and extensive data analysis experience. The hourly wage of an actuarial scientist typically ranges from $60 to $90. The compensation is adequate according to the importance of the task.
9. Data science modelling
Data modelling is the process of describing the relationships between various types of information that will be kept in a database through a descriptive diagram. One objective of data modelling is to find the most efficient way to store data while yet providing complete access and analysis.
Programming, big data technologies, management prowess, a comprehension of arithmetic and statistics, and data visualization abilities are a few examples of the data talents needed. These skills increase the likelihood of a freelancer finding work in data modelling. Depending on your degree of expertise and experience in this field, you might earn $55 to $80 per hour.
Benefits of becoming a Freelance Data Scientist
1. Ability to work remotely
Freelance data scientists can work remotely. For example, you can work from cafés, friends' homes, rental apartments, from any location in the world. Freelancing is fascinating since you can design your job around your schedule, and you are not tied down to one location.
2. Flexible income
Freelancers choose their own prices. You could, for instance, have only had two years of full-time employment, but you may have been engaged in data science initiatives for much longer. Without the restrictions of conventional pay scales based on your years of experience, you may determine your pricing as a freelancer based on the value you deliver.
3.Time flexibility
You are not limited to a 9 to 5 schedule if you work as a freelancer. Throughout the year, you have the freedom to decide when you wish to work during the day. You may set aside significant periods of time each year to accomplish other goals, take breaks, travel, or do whatever else you are passionate about.
4. Career Development
Career advancement for freelancers is frequently non-linear. You may work on various projects, obtain extensive experience, and advance your talents faster than you could with one full-time position. You have total control over your professional trajectory and can choose to specialize or become a generalist.
Conclusion
You may choose which projects you work on as a freelance data scientist, establish your own prices, and create a portfolio that you can use to apply for positions in the industry. In this guide, we have discussed some of the most prevalent data science gigs you can freelance in. You may also decide which of the occupations we discussed best suits your needs based on your hobbies and objectives, such as creating new projects, enhancing your learning, or earning money.
