Data Science Recruitment Service

Data Science Recruitment Service Success Stories [2024]

Pat Walls

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Updated: October 10th, 2024

Data science recruitment is a service that helps companies to find and hire the best data scientists. This service offers a variety of features, including a talent database, job postings, and a matching algorithm.

If you are interested in starting a data science recruitment service. In that case, you should have a strong understanding of the data science industry and be able to identify the best talent. You should also be familiar with the various tools and platforms that data scientists use.

Glassdoor says that in 2021, ‘data scientist’ was the second most sought-after role in the United States, with an average salary of $113,736. According to the data of Glassdoor, over the past five years, this has been a pretty consistent salary expectation for data science roles in the US.

Starting a data science recruitment service is a great way to help companies find the best data scientists for their needs. This is a growing industry with a lot of potential, and there is a lot of demand for data scientists.

In this list, you'll find real-world data science recruitment service success stories and very profitable examples of starting a data science recruitment service that makes money.

1. Big Cloud Recruitment ($3M/year)

After years of experience in the recruitment industry, Matt Reaney decided to start his own company. He and his colleagues identified the emerging trend of 'big data' and saw a niche in the market for recruiting data scientists and engineers. Inspired by the idea of leveraging data to drive business growth, they founded Big Cloud, a global data science recruitment company.

How much money it makes: $3M/year
How much did it cost to start: $80K
How many people on the team: 6

How We Started A $250K/Month Data Science Recruitment Service

Data science recruitment company Big Cloud shares how they grew their business to generate £250k per month through expanding into global markets and using social media and marketing strategies to attract and retain customers while keeping a strong focus on building honest, long-standing relationships with clients and candidates.

Read this case study

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