[SG] Data Scientist

Product · Singapore, Singapore
Department Product
Employment Type Full-Time
Minimum Experience Experienced

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.


About the role:

  • 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.
  • Build and maintain data pipeline required to build the ML model. Follow the engineering best practice to productionise ML model to be integrated with other DA products
  • 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.


About you:

  • A Bachelor or Master in a quantitative field (e.g., Computer Science, Statistics, Engineering, Economics, etc)
  • 2-5 years of professional experience
  • Good hands-on experience in Python
  • Good knowledge of Machine Learning basic (model development, model selection, feature engineering, etc)
  • Hands-on experience in Machine Learning algorithms, Pandas, Git, bash scripting
  • Posses growth mindset
  • Self-driven & a team player
  • Have good written & verbal communication skills


Nice to Have:

  • Hands-on experience in SQL and cloud computing e.g. GCP, AWS 
  • Knowledge or experience in MLOps. Experience in one of following platform: Airflow, MLflow, or Kubeflow
  • Hands-on experience in CI/CD, scripting languages e.g. bash
  • The ability to communicate results clearly and a focus on driving impact 
  • Experience delivering and driving action based on data-driven insights 
  • Track record of operating independently, demonstrating creativity, and delivering results
  • Comfortable with startup & fast paced operations and not be afraid to "roll up your sleeves" to get things done

Thank You

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  • Location
    Singapore, Singapore
  • Department
  • Employment Type
  • Minimum Experience