COMPANY OVERVIEW
Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Several of our founders since then became professors and faculty directors of analytics centers at leading US universities. Our founding purpose To apply graph theory to simplify and solve complex real-world business problems.
Our mission has evolved over the years and we currently offer a range of cutting edge data analytics and AI solutions to help companies transform their operations and optimise their commercial performance. Back then graph theory was mostly the purview of social networking sites. We wanted to expand this technology and help companies leverage their communities to unlock greater growth.
Lynx has offices in Singapore US Hong Kong Hungary and operations in several other countries such as Canada Germany Indonesia. We work with some of the worlds largest companies and are constantly looking to expand our knowledge base and geographical footprint. Lynx Analytics technology is deployed with various Clients internationally and has significant growth potential.
We have a diverse and inclusive global team comprising Professors PhDs MScs and MBAs from Ivy Leagues INSEAD and NUS with a broad spectrum of experience in start-ups and blue-chip companies (Google Databricks ZS Abbvie Amgen Vodafone Morgan Stanley Palantir Katana Graph to name but a few). It is the combination of our industry insight and experience scalable proprietary technology and highly qualified people that drives our compelling value proposition.
We are looking for ambitious innovative empathetic and relentless team players to explore the career opportunities that we offer as we continue to scale our operations.
About the role:
We are looking for a Senior Data Scientist to work on and lead complex data analysis projects using standard modelling data transformation approaches and Generative AI.
They should be comfortable working with very large data sets residing in different data stores in disparate formats. The role requires the candidate to be strong with hands-on implementation and has the potential to move fast onto a high-growth career trajectory. Our future colleagues must have excellent communications skills as well as being able to visualize and present complex Data Science solutions for the main (C-level) stakeholders of the projects. Leadership experience and charisma are huge advantages.
Key responsibilities will include:
To succeed in this role you should fulfill the following requirements:
Why You Will Love It Here:
Required Experience:
Senior IC
Our AI solutions merges ML, Graph AI, & LLMs to uncover, forecast, and elucidate network dynamics, ensuring adept reasoning and insightful recommendations.