Let’s face it: being a data scientist in 2022 is a difficult job. Despite the fact that the need for Freelance data scientists is still high and the supply is similarly high, getting a job in data science can be difficult and unpleasant at times.
If you’re a data science beginner who’s just finished learning the fundamentals, built a few projects, and is now ready to apply for jobs, you know it’s not simple. Even entry-level data science positions necessitate some prior experience.
However, you must have a job or an excellent project portfolio to obtain the experience needed to land a position. So, how can you get that expertise without working in industry or academia as a data scientist?
In this post, you’ll learn how to create a freelance portfolio that stands out.
Freelancing is one of the best alternatives for data scientists today, for both newbies and experts.
As a data science freelancer, you have a lot of flexibility in terms of project selection, time management, and pay. It’s also a terrific option for beginners who want to gain more hands-on experience by working on real-world projects. As a freelance data scientist, you’ll come across a variety of gigs (freelance jobs/projects) that you may apply for/bid on based on your skills and experience.
If you’re looking for a freelance data science job, websites like Refrens have plenty of listings. We’ll look at some of the possibilities available on this website in this piece.
Are you new to freelancing? If you’re not sure what to do or how to accomplish it, read this article and learn how to become a freelance hero.
1. Projects Involving Data Visualization
We’ll start with the most typical gig you’ll come across, visualization projects, which demand a tiny bit of originality. Many businesses and individuals seek data scientists to build effective visualizations that make data communication easier and more effective.
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.
Data visualization gigs often start at $58 per hour or more, depending on the level of experience, quality, and speed of work.
2. Tutoring and 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.
You can charge an hourly rate for sessions, which typically starts at $15 per hour and goes up to $60 or $80 per hour. The length of the session is determined by your client’s requirements.
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.
The starting price for this type of assignment ranges from $50 to $90, depending on the dataset’s complexity.
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, 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.
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 are required are: Programming, big data technology, management competence, math and statistics understanding, and data visualization skills are all examples of data modeling.
A freelancer with these talents has a better chance of landing a data modeling job. The remuneration ranges from $55 to $80 per hour, depending on your level of knowledge and experience in this industry.
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.
Depending on your skills and the project’s difficulty, such tasks can pay anywhere from $50 to $200.
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.
8. Content Creator
Last but not least, a teaching-related position. People of all levels are looking for resources to increase their expertise and learn new topics as data science and programming become more popular. They can achieve this by reading blog entries or technical tutorials, for example.
Many websites that publish technical content are always on the lookout for someone who can express complicated information in an understandable manner.
They frequently pay a decent price for these articles, with prices ranging from $75 to $500 and up depending on the length and quality of the piece.
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.
An actuarial scientist’s hourly rate is often between $60 and $90. Because it is such valuable work, the pay is commensurate.
As a freelance data scientist, you may pick and choose which projects you work on, set your own rates, and construct a portfolio that you can use to apply for jobs in the sector.
In this article, we looked at some of the most common data science jobs that you can find 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.
Furthermore, you are now prepared to excel in your freelancing career!