Data Engineer/Scientist

<<>>

You will be joining a hand-picked team developing a multi-tenant enterprise SaaS platform for sales enablement. The platform runs on AWS infrastructure. It has web, iOS, Android clients; and integrates with many other platforms (Salesforce, Microsoft Dynamics, GoodData, Tableau).

Our platform has been helping hundreds of top companies all over the world increase their sales productivity and revenue multiple times. And it is growing rapidly. Would you like to help us with this challenge?

Your main responsibilities include

• Extract, analyze and apply data-mining and statistical ML techniques to datasets
• Design and analyze experiments to test ML models
• Design data science pipeline and ML algorithms
• Lead team to develop an automated pipeline that is built for speed and scale
• End-to-end data processing, troubleshooting and problem diagnosis
• Work with product managers to identify business/product problems, identify use cases which can be resolved with ML techniques
• Report, visualize and communicate results
• Keep up with and share ML knowledge to development team

Must-have Skills:

• Minimum 2 years of experience of designing and implementing ML solutions for SaaS
• Proficiency in using AI/ML technology stacks/frameworks/toolkits
• Strong hands-on implementation experience with high-level programing languages
• Good mathematical and statistical background
• Proficiency in English (fluent in speaking and writing English)
• Can-do attitude to do whatever is needed, ranging from dirty work like data cleaning, to high-level work like algorithm design

Nice-to-have Skills

• Computer science background
• Knowledge of software development processes like Agile, SCRUM
• Good communication skills
• Knowledge of sales enablement or LMS domain
• Experience in using cloud platforms

• Annual short trips to the US (everyone is eligible, selected by lottery)
• Employee stock option for everyone
• Full compliance to Vietnam labor law (fully paid social insurance)
• 13th month salary
• Annual company trip and monthly team building budget
• Opportunity to work long term in the US
• Full participation in the entire product development cycle
• English speaking environment
• Flexible working hours and work-from-home policy
• Extra health insurance