Data Scientist (Hong Kong / Remote-International)

The Data Scientist at Lynx Analytics is responsible for leading and working on complex data analytics projects using advanced modeling and data transformation techniques. They will utilize Lynx's proprietary graph analysis system/customer experience management solution to design and deliver solutions for Data Science related problems. The role requires the ability to work independently, present results to clients, prepare presentations for stakeholders, create reusable documentation and code libraries, and support the Project Manager in designing solutions. The Data Scientist will also lead smaller data science tasks and participate in internal education and research tasks.

• Designing and delivering solutions for a defined Data Science related problem, with the ability to work independently
• Presenting the results for clients' project teams
• Preparing presentations for the project stakeholders
• Creating reusable documentation, presentations, and code libraries during the project
• Supporting the 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

• Comfortable working with large data sets in different formats and data stores
• Strong hands-on implementation skills
• Ability to work independently and lead complex data analytics projects
• Proficient in designing and delivering solutions for Data Science problems
• Excellent presentation and communication skills
• Ability to create reusable documentation, presentations, and code libraries
• Experience in supporting Project Managers in designing solutions
• Ability to lead smaller data science tasks with the help of internal leadership and project managers
• Willingness to participate in internal education and research tasks

• Competitive salary and compensation package
• Opportunity to work with a global company
• Chance to collaborate with leading companies in various industries
• Access to innovative consulting and software services
• Exposure to cutting-edge technologies such as graph theory and AI
• Potential for career growth and advancement
• Ability to work independently on complex data analytics projects
• Opportunity to present results to clients and project stakeholders
• Creation of reusable documentation, presentations, and code libraries
• Support from internal leadership and project managers
• Participation in internal education and research tasks
• Possibility of travel opportunities