Technical and Scientific Talent
Whether managing digital transformation or building your next hyper-growth product, few would argue the importance of proper technical and scientific talent.
Studies conducted by McKinsey&Company suggest top engineering talent is anywhere from 3X to 10X more productive than average engineers. So how do we find, engage and access engineering talent?
Of course, such talent is (very) hard to recruit. In the coming years, we expect the war for talent, delivering on new capabilities, to significantly outstrip supply. For agile skills, demand could be 4X supply and for big-data talent, it could be 50 to 60 percent greater than projected supply.
We can help.
Full stack developers
True FS developers are proficient, if not fluent, in the following areas:
- Server, network and hosting environment
- Relational and nonrelational databases
- Managing API's and et al
- Data security
- Needs assessments and organizing business requirements
True FS talent has work experience in different languages, roles and industries making them rare and in very high-demand.
We can find, engage and properly access the FS talent you require.
Devops talent positions your technical endeavors for Lean and Agile approaches to work coupled with value-add collaboration between development and operations teams. Implementation results look like:
- Infrastructure automation
- Continuous delivery
- Site reliability engineering
Excellent compensation + extremely rewarding work + endless demand for well qualified professionals = some of the reasons data science is one of the best career tracks we know of!
Like full stack developers, great data scientists are often not specialized but rather a product of working in multiple industries, solving a variety of business problems - very well rounded. Skills and qualities we look for:
- Demonstrated mathematical - critical thinking skills
- Technology hacking skills
- Business strategy - business acumen - domain expertise
- Professional work experience
- Diverse experiences
This new and rapidly rising field has little support from higher-learning degree programs. While some true data scientists are formally educated many are self-made, incredibly motivated and highly intellectual autodidacts.