Data Scientist
Lynx AnalyticsSingapore8 days ago
Full-timeEngineering, Information Technology
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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 world’s 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, MSc’s, 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. 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!
You 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 is a huge advantage.
Key Responsibilities Will Include
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 world’s 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, MSc’s, 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. 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!
You 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 is a huge advantage.
Key Responsibilities Will Include
- 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
Key Skills
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