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If you are a recent graduate or recently laid off then this blog post is for you. These 7 platforms offer some of the highly lucrative jobs in data science. You can get full time, part time, contract, or gig jobs just by creating a profile and adding your achievements. I know, we are living in uncertain times and it is getting hard to land your dream job, but you have to start somewhere. 

In this blog, we will discuss the top 7 platforms that can help you find high paying data science roles. Whether you are looking to break into the field or advance your career, these sites connect job seekers with top companies hiring data scientists. With the demand for data skills continuing to grow, these platforms give you access to remote, freelance, and traditional data science opportunities. 

 

1. LinkedIn

 

I am a big fan of LinkedIn. It is one of the best platforms for data scientists to find high-paying roles and get recognized for their skills. On LinkedIn, you can search thousands of data science jobs at leading companies in all industries. LinkedIn uses powerful algorithms to recommend jobs that match your profile, skills, and interests. 

 

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You can easily apply for positions and contact recruiters directly. LinkedIn also allows you to expand your professional network and connect with leaders in the data science field. By building out your profile with key skills, projects, and recommendations, recruiters can quickly identify you as a top data science candidate. The platform also makes it simple to stay up-to-date on the latest data science trends and best practices through curated content. 

 

2. Wellfound

 

Wellfound (formerly AngelList Talent) is a great platform for data scientists to find high-paying remote jobs at startups and top tech companies. By creating a profile on Wellfound, you can access and apply for data science roles across fast-growing startups. 

 

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The platform is highly responsive - you can often expect to hear back from hiring managers within a couple days of applying. Wellfound makes it easy to identify startups you believe in and want to contribute your data skills to. It has proven to be an excellent source of data science job opportunities within the startup scene. 

I've had positive experiences using Wellfound while searching for startup jobs myself. The platform matches your profile and data science expertise with relevant open positions at the most exciting young companies. 

 

3. Toptal

 

My experience with Toptal was amazing - it's a great source for high-paying freelance and contract data science jobs. Toptal maintains a network of the top 3% of data professionals in the world, so you feel like an elite talent when working through them. You can get hired as a freelance data scientist, data engineer, machine learning engineer and more.

 

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The pay rates for projects are excellent. Toptal clients are top companies, startups and organizations so the work is challenging and rewarding. Being part of the exclusive Toptal network is also great for your ego and self-image as a data science professional. You go through a rigorous screening process to demonstrate your skills, which makes you feel accomplished when you are accepted.

 

4. Upwork

 

Upwork is a great freelance platform for data scientists to find high-paying, flexible jobs. Like Fiverr, Upwork connects you with clients looking for project-based work, hourly engagements, long-term contracts, and even potential full-time roles. 

 

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The key is standing out and working on your Upwork portfolio. Make sure to highlight specific data science capabilities, tools you have experience with, and achievements from past projects. 

Check Upwork frequently for new data science job postings that are a good match for your abilities. When applying, emphasize how you can provide value to potential clients.

 

5. Kolabtree

 

Kolabtree is a specialized freelancing platform for scientists and industry experts. While it takes time to build up your reputation, Kolabtree can be a source of lucrative data science jobs. I spent about 2 hours thoroughly completing my profile with all of my academic and professional credentials, achievements, and areas of expertise. This caught the attention of potential clients right away. 

 

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Many projects on Kolabtree have fixed prices, but there is room to negotiate rates based on your capabilities and experience. In the beginning, I got some lower paying data projects as I was establishing myself on the platform. But by sticking with Kolabtree and successfully completing a number of projects, I began getting contacted for better paid contracts. The platform is very responsive - clients can easily reach out to you directly for potential projects matching your skills.

 

6. Indeed

 

Indeed is a leading job search platform that can be a great source of high-paying local data science roles, especially outside of North America. By creating a profile and selectively applying, Indeed connects you with thousands of data science opportunities in your area. It's important not to spam applications - carefully review and only apply to jobs that are a strong match for your abilities.

 

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Indeed is known for having many entry level and junior data science listings, but with the right experience you can find more advanced and senior level positions as well. For those living in South Asia or other markets outside North America, Indeed tends to be the go-to platform for local job hunting. Make sure to check Indeed regularly for new high-paying data science openings in your city or country. 

 

7. Amazon Jobs

 

Major tech companies like Amazon offer lucrative data science roles that aren't always publicly listed on sites like LinkedIn and Indeed. To access these exclusive openings, you should check Amazon.jobs and other tech company job boards. These internal sites showcase hundreds of data science positions across various global offices.

 

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The majority of data jobs at top tech firms are only found on their internal career sites. Amazon is constantly hiring for data scientists across divisions like Alexa, AWS, retail, operations and more. These jobs tend to be very well-paid at all levels. Keep an eye on Amazon.jobs if you want to land a data science job at leading tech brand with strong compensation and benefits.

 

Conclusion

 

Landing a high paying job in data science can transform your career. While the competition for top roles is fierce, leveraging online platforms gives you access to incredible opportunities. The 7 high paying platforms allow you to connect with employers and clients looking for your specialized data skills. Whether searching for full-time employment or high-rate freelance work, build up your presence across these platforms. 

Craft compelling profiles highlighting your data science credentials, expertise, and achievements. Be selective in applying and showcase how your capabilities can add value.

And keep trying. You will eventually land a job. While waiting for the job offer, keep learning new skills and working on portfolio projects. 

Check out my latest blog to learn more:

• 5 Portfolio Projects for Final Year Data Science Students
• How to Ace Data Scientist Professional Certificate Exam
• 5 Mistakes I Made While Switching to Data Science Career

 
 

Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. Currently, he is focusing on content creation and writing technical blogs on machine learning and data science technologies. Abid holds a Master's degree in technology management and a bachelor's degree in telecommunication engineering. His vision is to build an AI product using a graph neural network for students struggling with mental illness.