A company develops neural network services for analyzing the results of imaging studies. Today, the AI technologies developed by this company help medical professionals make accurate decisions in one of the most challenging diagnostic fields. Developing in this area requires an extreme level of responsibility, which is why the company employs specialists with the highest qualifications.
Task
Our task was to find a Lead Data Scientist with experience and expertise specifically in the field of medical technology. There are numerous nuances involved in finding such a high-caliber employee. The talent pool in the country has very few candidates with significant experience in med-tech, and the lead category is always the rarest and most in-demand.
Key requirements
Experience in managing an analytics team, including data specialists, data engineers, and analysts.
Deep understanding of working with big data and analytics platforms (Hadoop, Spark, SQL, Python)
A higher education degree in mathematics, statistics, computer science, or a related discipline
Process
Compiled a list of donor companies (med-tech companies, necessary tech stack). Worked with our internal candidate database, leveraged our network, gathered recommendations, and established communication for future collaboration with potentially interesting specialists. Formed a project team to work on the vacancy: daily processing of primary search sources to expand the funnel.
Result
We genuinely love our work and are passionate about it, not only because the inquisitive mind of a recruiter has to sift through many complex resumes in search of the "perfect" candidate, but also because we help truly outstanding companies and talented job seekers find each other. Together, they can achieve exponentially greater results.
As experts in IT recruitment, we understand that a truly highly qualified worker in the field of information technology can be motivated by more than just (and not necessarily!) a high salary. According to numerous surveys among developers themselves, in the senior and lead categories, the main motivating factors are recognition, the social significance of the project, and a comfortable team atmosphere, with money coming later. And this is indeed the case.
That is why, when we found the ideal specialist with the necessary experience whose salary expectations far exceeded the amount offered by the client company, we first decided to talk to him and find out: what really matters to him?
A highly qualified candidate with extensive experience in international companies and large, interesting projects was interested in working for a domestic organization on socially significant products.
During negotiations with the specialist, we built an argument in favor of the important mission of the client company and managed to reduce his salary expectations by almost 20%. In negotiations with the client company, we emphasized the candidate's qualifications and potential, allowing us to raise the salary range to a level that satisfied both parties.