Mistakes when hiring data scientists
- Ariel K
- Sep 2, 2023
- 1 min read
Updated: Sep 3, 2023
There are basically four options to hire a data scientist:
(1) Local hire, full time employment
(2) Using a freelance platform such as https://www.toptal.com/ or upwork.com
(3) Outsourcing the project to an external company specialized in data science projects
(4) Hiring remote through one of the thousands of software development Outsourcing shops
The below table compares the pros and cons of the different options for finding data science talent:
Option | Pros | Cons |
Local hire | Easy communication and interaction | Very expensive, takes time, hiring errors are costly |
Freelance platforms | Cheapest option | No quality control or skill validation, you waste time on vetting. Impossible to build a long-term team. |
Outsourcing the project | Work done by experts | Most expensive option and you can lose control over the process |
Remote Development Shops | Potentially Lower cost and better availability than local hire | Good for general software development but are not experts in Data Science. Can lead to costly mistakes and overruns. |
Random Forest Services has a unique offering which is superior to all the above options.
We are the only company combining the professional knowledge of a Data Science Lab with an staffing agency
We have a network of hundreds of Data Scientists, available for work
Remote team - lower cost and wide access to talent
Our Talent is continuously mentored and developed. Happy talent means fantastic work done for our clients.
Hands on expert management team helping you and the team design the project and steer it to success
Full transparency and direct contact between you and the talent, so the project progress and expense is tightly controlled
All administration is handled by us
In summary, our unique solution helps you avoid the common mistakes when hiring data scientists, common pitfalls around cost, recruiting, skill verification, project management, communication, time and budget overrun. These problems exist across all existing options.
Want to ensure a successful data science project, on budget and on time?
Contact Random Forest Services today.





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