Freelance Data Science experts Hourly Rate

We offer affordable rates to connect you with pre-vetted Data Science experts. Review profiles and find your match based on project needs and budget.

Data Science experts Rates

The average rate of a Data Science experts talent in WINaTALENT is 10 Euro/hour.





4 / hour

15 / hour

Per hour




7 / hour

15 / hour

Per hour




13 / hour

25 / hour

Per hour

How to hire Data Science experts through WINaTALENT

Talk to One of Our Tech Rectuiters
Talk to One of Our Tech Rectuiters

One of WINaTALENT's tech recruiters will have a meeting with you to understand your technical and cultural needs.

Review Our Hand-Selected Shortlist
Review Our Hand-Selected Shortlist

Withing days, we'll send you 1-3 hand-selected shortlists for your requirement.

Start working with your new talent
Start working with your new talent

Work with your talent and use our Escrow account to pay only when the work is delivered


We Search
We Search

We search among our talent pool based on your requirements

We Shortlist
We Shortlist

We tailor a shortlist based on your requirements

You Hire
You Hire

You can directly interview and hire your ideal candidate

Hear From Our Clients

Ehsan Shariati

Functionland (Toronto, ON, Canada)

We used Winatalent for our react-native project at Functionland, and really happy that I gave it a try. We had used Upwork and Freelancer with 4 unsuccessful attempts for the same project before turning to Winatalent. The level of expertise we received from the developer was much higher than what we got from other platforms for the same amount of money. Moreover, the personalized support we received from their team during the process was invaluable. I extremely recommend using Winatalent and will definitely use it for my future projects.


Elias Shahi

Gram Games / Zynga (Istanbul, Turkey)

I am really impressed by the quality of services I received from WINaTALENT. They were right on schedule, charged reasonable prices, were professional and courteous in dealings, and delivered items well before time. Their pipeline was so smooth and simple so that everyone with any level of knowledge can be their client no matter what the project is.


Mehrsa Raeiszadeh


WINaTALENT platform helped us with hiring a remote UI/UX designer to join our startup in Canada, and we could find a very hard-working and very dedicated candidate from the shortlist they provided for us. It’s been a few months now that we're working with winatalent and they've been able to handle our financial transactions and payments to the talent without any problems. Also, their customer success team is very professional and responsive and I'm sure anyone working with them will be in great hands! Highly recommended.


Behzad Bani

Setflow (Italy)

I've been using Winatalent for quite some time, and it has truly been a game-changer.  The team behind it is remarkably committed and professional, providing support throughout the entire hiring process.  They swiftly handle any challenges, always ensuring an efficient, smooth experience. The most impressive aspect, however, is the quality of talent available.  The platform is filled with skilled individuals ready to make a difference in your team.


Frequently Asked Questions

Q:What is so different about WINaTALENT talents?
A: We have gathered over 30,000 verified talents in our talent pool. These individuals offer more than just expertise and competitive rates; they are experienced problem solvers and challenge takers. In our talent acquisition process, we've specifically curated this group of talents. For more information, please visit our About Us page.
Q:What are the steps to hire Data Science experts From WINaTALENT?
A:When you begin hiring through WINaTALENT, you’ll work with a tech recruiter to identify your technical and non-technical requirements. Within approximately seven days, we will provide you with a shortlist of handpicked talents that you can evaluate and interview. We will continue shortlisting until you find the right talent
Q:How much does it take to hire Data Science experts From WINaTALENT?
A:You’ll receive the first set of shortlisted talents (between 1-3 profiles) in about 7 days. If none of them are the right match, we’ll keep the shortlisting process until you find the ideal talent.
Q:How is hiring Data Science experts From WINaTAENT a no-risk process?
A:When you hire Data Science experts From WINaTALENT, you pay into WINaTALENT’s Escrow account for your milestones with the talent. You only release funds for a milestone once it has been fully delivered.
Q:Does WINaTALENT handles the payments to the talent?
A:Yes, you make all your payments to WINaTALENT. Once a milestone is completed and you release the funds, they will be transferred to the talent's wallet.

The Soaring Demand for Data Science Skills

Data science is becoming increasingly popular as companies try to get the most out of their big data. Data scientists are the ones who use statistics, modeling, and analytics to find valuable insights that help businesses make critical decisions. 

According to LinkedIn's 2022 Emerging Jobs Report, the demand for data scientists has grown by more than 650% in the last five years, and it doesn't seem to be slowing down any time soon. 

There are many career opportunities for data scientists, and they can earn good money since there are not enough people with specialized Python, SQL, cloud platforms, statistical modeling, and machine learning skills. As a result, having data science skills is an excellent way to advance in the digital economy and positively impact society. 

Data Scientist Salaries Given the limited talent pipeline, data science salaries continue rising rapidly across all experience levels. While specific compensation varies by industry and region, data scientists see strong earning potential.

Hourly Rates

Based on their niche skills and past work, freelance data scientists charge between $50 and $200 per hour. Salaried roles pay $55-$90 per hour for entry-level workers and up to $150+ hourly for senior data scientists.

Freelance Data Scientist Rates

Freelance data scientists charge hourly rates ranging from $50 to $250 based on their specializations and industry experience. Rates on the higher end go to PhDs and senior data scientists with niche expertise. There is an extremely high demand for qualified data talent.

Weekly & Monthly Data Science Salaries

In the US, entry-level data analysts earn between $1,500-$2,500 weekly. Mid-career data scientists make around $7,500 monthly, while experienced principal data scientists earn $12,000+ monthly.

Annual Salaries

In the US, beginner data scientists earn an average base salary of around $115,000 annually. Mid-level data scientists make approximately $150,000 annually, while highly experienced leads earn over $200,000.

Major tech hubs pay 20-30% above national figures. For example, a Principal Data Scientist in the SF Bay Area can earn over $250,000 annually.

Data science roles typically pay the following base salaries:

  • Entry-level / Junior Data Analyst: $65,000 - $95,000
  • Mid-career / Data Scientist: $110,000 - $170,000
  • Senior / Lead Data Scientist: $165,000 - $240,000
  • Head of Data / Principal Data Scientist: $210,000 - $350,000+

Hiring Affordable Data Science Talent

To gain data-driven insights without breaking the budget, leverage freelance marketplaces like WINaTALENT to connect with pre-screened data science contractors and freelancers available for hire.

Easily search data science freelancers based on project needs- like statistical analysis, machine learning, predictive modeling, data engineering, etc. As a result, you can build your analytics team more quickly and cost-effectively.

WINaTALENT's freelance marketplace is a great place to hire data science talent because:

  1. Save time and money: Instead of a lengthy traditional hiring process, you can connect with qualified freelancers in days or weeks. As a result, you can build your analytics team faster and more cost-effectively.
  2. Flexibility: Leverage on-demand talent to ramp up or down as business needs change. A part-time data scientist is more feasible than a full-time one.
  3. Specialized expertise:  Access niche skill sets from a global talent pool instead of relying on what's available locally. Get support exactly matched to specific analytics use cases.
  4. Risk mitigation. Indirectly hiring someone without assessing their abilities can lead to lower-quality work. Test a freelancer's capabilities through smaller pilot projects to ensure better quality control.
  5. Latest innovations: Freelancers continually expand expertise across diverse client projects, exposing them to cutting-edge tools, algorithms, and techniques. In comparison to full-time resources, this brings fresh perspectives.