Data Scientist / Senior Data Scientist
Singapore | Hong Kong | Budapest, Hungary | Full-time

Founded in 2010, Lynx Analytics is a predictive analytics company run by world class quantitative marketing scientists and industry experienced data scientists. Our focus is on solving big challenges primarily through the deployment of our proprietary big graph analytical platform, which is based on a powerful Hadoop and Apache Spark back-end.

Our head office is in Singapore and we have operations in Hong Kong, USA, Hungary, Indonesia and presence in a few other south-east Asian countries. Our clients include some of Asia’s largest telecommunication companies and banks, and we are currently expanding geographically and into other industry verticals. Our teams’ qualifications are global, including Professors, PhDs, MScs, and MBAs from Ivy League schools, INSEAD and NUS, as well as experience at other start-ups and blue-chip companies (Google, Palantir, SAP, Vodafone, Barclays, GE, Morgan Stanley, to name but a few). It is the combination of our insightful frameworks, product development capabilities, and these qualifications that make up the true value of Lynx’s proposition.

Lynx Analytics technology is already deployed across the region for various clients, and there is significant growth potential for the company as well as numerous career opportunities as we scale up our operations. 

Job Description:

Lynx is looking for experienced Data Scientists to work on and lead complex data analysis projects using standard modelling and data transformation approaches 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. The role requires the candidate to be strong with hands-on implementation as well have the potential to move fast onto a high growth career trajectory.

  • Industry experience in data mining and/or data science
  • University degree in a technical field (Mathematics, Statistics, Economics, Computer Science or Engineering)
  • Strong probability theory and statistics knowledge
  • Knowledge of some statistical tools.
  • Ability to write programs in some programming language (e.g. R/Python) – software engineer skills to design and implement complex software systems is NOT needed, but the candidate is expected to be able to write simple code to prototype and test analytical ideas
  • Good problem-solving skills
  • Knowledge of RDBMS systems (Oracle, Teradata, MySQL etc.)
  • Excellent verbal and written communication skills
  • Some leadership experiences
  • Fluency in English
  • Willingness to travel
  • Experience in Big Data
  • Knowledge of Telecommunications Or Banking domain
What we offer:
  • Opportunity to work on innovative, bleeding edge data science methodology using our state of the art, in-house big graph tool
  • Work closely with the developers of the (big graph) tool you will be using
  • Be a member of a very strong team with mathematicians, ex-Googlers, Ivy league professors, INSEAD alumni business people and telco industry experts
  • Startup atmosphere
  • Competitive salary
  • Stock options for employees
  • Opportunity to travel (South East Asia, US, Europe, …)
  • Flexible working hours, family-friendly workplace

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