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.

Key responsibilities will include:

Designing and delivering solutions for a defined Data Science related problem, with the ability to work independently
Present the results for clients’ project teams
Prepare presentations for the project stakeholders
Create reusable documentation, presentations and code libraries during the project
Support Project Manager to design solutions
Leading smaller data science tasks with the help of internal leadership and project managers
Participating in internal education and research tasks

To succeed in this role, you should fulfill the following requirements:

1 to 3 years of experience of any of the following fields: finance, telecommunication, retail, public, healthcare.
1 to 3 years overall experience in data mining and/or data science field.
Mathematics, Statistics, Economics, Computer Science, Engineering or related degree (MSc is preferred)
Understanding complex data science solutions
Strong knowledge of probability theory, statistics, data science algorithms and their application in Customer Retention, Campaign Management, etc. areas
Excellent 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)
Strong knowledge of DWH querying languages (like SQL, Hive, Teradata, MySQL, etc.)
Knowledge in applied graph theory is an advantage
Software Engineer skills are not needed, but the candidate is expected to be able to write simple code to prototype and test analytical ideas
GitHub knowledge is a plus

Apply for this Job

* Required

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Dropbox Google Drive

(File types: pdf, doc, docx, txt, rtf)

Cover Letter

Dropbox Google Drive

(File types: pdf, doc, docx, txt, rtf)

LinkedIn Profile

Website

Point of Data Transfer *

When you apply to a job on this site, the personal data contained in your application will be collected by Lynx Analytics Pte. Ltd. (“Controller”), which is located at 30 Cecil Street, Prudential Tower, #19-08, 049712, Singapore. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of Regulation (EU) 2016/679 (General Data Protection Regulation) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged as Processor by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. Controller and Processor have taken appropriate safeguards to ensure that your personal data will remain protected in accordance with the applicable laws and have entered into a specific data processing agreement to ensure this.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment. Please note, You may have additional privacy rights available to You under applicable laws. Your rights may include: (1) Right not to provide or withdraw consent at any time (2) Right to access the Personal Data that You provided Us (3) Right to erasure Personal Data that We hold about You (4) Right to restrict the processing of Your Personal Data (5) Right to opt out of marketing communications (6) Right to correct any of Your Personal Data. All queries regarding the processing of your personal data can be addressed to Controller through dpo@lynxanalytics.com.

Acknowledge/Confirm

Our system has flagged this application as potentially being associated with bot traffic. Please turn off any VPNs, clear your browser cache and cookies, or try submitting your application in a different browser. If this issue persists, please reach out to our support team via our help center.

Please complete the reCAPTCHA above.

Data Scientist (Hybrid)

Apply for this Job