
Data Scientist
2 weeks ago
Overview
Lynx Analytics was founded in 2010 by a group of INSEAD students and professors with a strong research background in graph analytics. Our founding purpose is to apply graph theory to simplify and solve complex, real-world business problems. Our mission has evolved, 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. We work with 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. It is the combination of 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. If you have a burning passion for data, Generative AI, and an interest to work in projects with international clients, this might just be the role for you
RoleYou will as a Data Scientist work on and lead complex data analysis projects using standard modelling and data transformation approaches, Generative AI (including LLMs) as well as Lynx’s proprietary graph analysis system. You should be comfortable working with very large data sets residing in different data stores in disparate formats and be strong with hands-on implementation, as well as have the potential to move fast onto a high-growth career trajectory. Leadership experience and charisma are a huge advantage.
Key responsibilities- Designing and delivering solutions for a defined Data Science related problem at the client’s location
- Present the results / prepare presentations for the project stakeholders (collaborating with the lead data scientist)
- Create reusable documentation, presentations, and code libraries during the projects
- Mentoring Data Science interns
- Leading smaller data science tasks with the help of internal leadership and PMO
- Participating in internal education and research tasks
- 3+ years of overall experience in data mining and/or data science field
- Mathematics, Statistics, Economics, Computer Science, Engineering or related degree (MSc or Ph.D. is preferred)
- Understanding complex data science solutions
- Solid knowledge of probability theory, statistics, data science algorithms, and their application in customer retention, campaign management, etc. areas
- Good communication (both verbal and written) and data visualization skills
- Coding abilities in at least one of the following languages: Python (preferred), R, SAS, C, JAVA, or similar
- Solid knowledge of DWH querying languages
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