Senior Data Scientist - Chatbot & NLP

About the Role
Dive with us in developing state of the art Chatbots that take care of our user and enhance the user experience. As our Senior Data Scientist for the Consumer Platform group, you will get the opportunity to work with a team devoted to building impactful Machine learning systems, and lead the data science architecture on some of the first smart chatbots at Gojek. You will have ample opportunity to flex your creativity and problem solving skills, getting us even closer to a perfect record in Customer care.

What You Will Do

• Work with Data Scientists, Machine Learning Engineers, and Business Users to build, deploy, and scale Data Science solutions on chatbots and intend detection models for instance
• Use your experience in Data Science, Machine Learning, Software Engineering, and distributed systems to develop these system; work with the engineering team to take the systems to production
• Design and develop world class Data Science solutions to bring ML chatbot technology to life at Gojek
• Become Chatbot and NLP expert at Gojek, influence the roadmap and build ML systems; be a hands-on technical leader
• Partner with PMs and Operation to define where can ML be leveraged further design solutions

What You Will Need

• At least 8 years of experience as a Data Scientist/Machine Learning Engineer, with experience in Python, Unix and specialised in NLP and chatbot
• A Master's Degree in Computer Science, Statistics, Operation research or other quantitative fields
• Solid knowledge of Data Science and Machine Learning fundamentals, with proven experience to formulate Data Science solutions to business problems
• Experience in taking Data Science models from ideation to production
• Prior experience in building chatbots and NLP ML system and bringing them to production
• Ability to provide strong technical mentorship to the Data science team working on NLP systems

About the Team
The Consumer Platform group is spread out across Singapore, India, and Indonesia. The group takes care of providing scalable solutions for a wide range of products at Gojek. Within this group, the CareTech team focuses on developing solutions that improve solution time for any user queries. We’re a family of 10 data folk who field analytical, decision science, and data science related issues for our consumers, and work to understand their behavior, trends, and preferences on our app. Currently, our team has been keeping busy not only building chatbot and NLP classifiers, but are also in the works to personalize our app, providing more catered suggestions to our users through leveraging on data science and machine learning. 
While our team is based all over the region, we are mutually concerned about ensuring our users have an exceptional experience every time they utilize our app, and have any technical issue or query answered efficiently. When we aren’t busy working, you could probably find us bonding over our shared love of mobile games, and trying to keep ourselves healthy and happy as we prioritize a healthy work-life balance working from home.

About Us
Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and dozen other products. It is Indonesia’s first and only decacorn. It's also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.'
Our Mission: To create and scale positive socio-economic impact for our customers, driver-partners, business and MSMEs.
As of 2018, Gojek processed more than $9 billion annualised gross transaction value across all markets where it operates - in Singapore, Thailand, Vietnam and Indonesia. We have the largest food delivery product in Asia, (outside of China), and the largest payments wallet in Southeast Asia.
Our investors include Google, Facebook, PayPal, Sequoia Capital, Tencent Holdings among others.
Gojek is committed to building a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.