Job Description

About Doctor Anywhere At Doctor Anywhere, we are guided by the core belief that healthcare should be simple, accessible and efficient for everyone. Since our launch in 2017, we've been disrupting the healthcare industry by developing innovative solutions to bridge gaps in the healthcare ecosystem. Our services integrate both digital and offline platforms to empower users to take charge of their health. Headquartered in Singapore, we have regional offices in Malaysia, Thailand, Philippines, Vietnam, and India, serving more than one million (and growing) users across Asia.
Our team and the role we are hiring for The Data team within Doctor Anywhere oversees all of the company’s data-related requirements. The goal is to use the data to assist the company in decision making through analytics and building the AI solutions that will take the products to a higher level. This team works closely with our Product, Engineering, and Business to deliver the insight of data and value of AI products efficiently.
We are seeking an enthusiastic and self-motivated Data Scientist who will passionately dive deep into our data and build AI products that will help product and business to move even faster and effectively.
This role reports directly to the Data Science Lead.

Responsibilities

• Work on data science & machine learning problems, e.g. recommendations system & personalization, predictive models, etc. You are responsible for end-to-end machine learning projects such as model development, evaluation, productionisation and experimentation (A/B test).
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our machine learning products that serve millions of people and businesses.
• Work with large and complex data sets to solve a wide range of challenging problems using different analytical and statistical approaches.
• Identify and measure success of machine learning product efforts through goal setting, forecasting, and monitoring of key metrics to understand trends.
• Identify, understand, and test opportunities and levers to improve the solutions, and drive roadmaps through your insights and recommendations.
• Develop & conduct best practices Data Science & Machine Learning team.
• Partner with Product, Engineering, Analyst and cross-functional teams to inform, influence, support, and execute data-driven initiatives.

• A Bachelor or Master in a quantitative field (e.g., Computer Science, Statistics, Engineering, Economics, etc)
• Experience in Python
• Very good knowledge of Machine Learning basic (model development, model selection, feature engineering, etc)
• Hands-on experience in Machine Learning algorithms, Pandas, Git
• Posses growth mindset
• Self-driven & team player
• Have good communication skills

• Hands-on experience in SQL and cloud computing e.g. GCP, AWS
• Experience with Recommendation systems & personalisation
• The ability to communicate results clearly and a focus on driving impact
• Knowledge or experience in MLOps, scripting languages e.g. bash
• Experience delivering and driving action based on data-driven insights
• Track record of operating independently, demonstrating creativity, and delivering results