As a member of Seed Scientific’s Science Team, you will be joining an interdisciplinary group of scientists, mathematicians, designers, and engineers that work with commercial, public and social sector clients to help them solve their most challenging problems and get the most out of their data.
As a Data Scientist, you will apply your mathematical, scientific, and/or economic training to analyze large volumes of data, model complex human-scale problems, and develop algorithms to serve various needs.
You will work in collaboration with data engineers and design technologists to come up with creative solutions to challenging client problems, most often with a clear line of sight from your work to real-world impact. You will work across sectors (e.g. healthcare, cybersecurity, global development, music, etc.) and have the opportunity to regularly experiment with new tools and techniques.
- Advanced Degree(s) in mathematics and/or computer science, or at least four years of relevant experience
- Previous work experience a big plus, especially R experience
- Experience with a range of data science techniques including clustering, machine learning, natural language processing, and network analysis
- Enthusiasm for learning new techniques and technologies to solve hard problems
About Seed Scientific
Seed solves big problems with big data. We architect data-driven, technology-based solutions to a wide range of complex problems for global clients in the commercial, public, and social sectors — like GE and the United Nations. To learn more, visit seedscientific.com.