Data Scientist

Join Aptar Digital Health, Singapore team working on A.I. for our Brain & Immune System health-Support already 4 millions of patients across the world.

An exciting opportunity! Aptar Digital Health is now recruiting for its data team in Singapore. There's a lot to do and the mission is really one of its kind. Have you ever thought we could be one day capable of predicting how the brain and the immune system behave based on the context, weather, lifestyle, sleep, stress, food and obviously based also on potentially drugs we have been prescribed Today nobody can really model how our brain and immune system will react. But we're working toward that goal.

Aptar Digital Health has a team supporting more than 4 million patients already across the world via an app called MigraineBuddy. This app is available on the App Store and you may want to know how much people love it. 4.9 average rating worldwide and hundreds of thousands of reviews on all platforms combined. This is already massive and that's actually the biggest neurology focused, brain focused platform in the world. Now it is about expanding to more conditions and doing more into migraine specifically. This is about changing the paradigm about neurology, about brain understanding and the immune system understanding. It is okay if you don't understand how the brain works, we'd rather ask you to be curious and fast learning.

You should work here because we:

Attract and develop high performing people.

Promote a diverse and inclusive work environment.

Allow for failure by allowing people to make mistakes through an open and trusting environment.

Invest in the development of employees through local, regional and global career opportunities.

Contribute to the communities where we reside.

We have an exciting position open for a Data Scientist role reporting to Lead Data Scientist.

This is how your journey begins:

• As a Data Scientist at Aptar Digital Health, you will play a crucial role in unlocking insights from complex health data.
• You will manage the entire data lifecyclefrom processing and feature engineering to implementing machine learning models and deploying end-to-end solutions within our AWS ecosystem.
• Collaborating with cross-functional teams, you will harness company data to drive business solutions, improve patient outcomes, and enhance our health tech product offerings.
• Develop and implement comprehensive data processing and feature engineering strategies to prepare large health datasets for analysis.
• Design, implement, and validate predictive models and machine learning algorithms, focusing on improving patient care and operational efficiencies.
• Utilize Apache Airflow to manage complex ETL pipelines, ensuring data quality and accessibility.
• Leverage the AWS ecosystem for deploying scalable machine learning solutions and efficient data management workflows.
• Work closely with engineering and product teams to integrate machine learning models into comprehensive health tech solutions.
• Conduct rigorous A/B testing and ongoing model performance monitoring to ensure the effectiveness and accuracy of predictive insights.
• Stay updated on the latest trends and technologies in data science, machine learning, and healthcare innovation to contribute to the company's thought leadership and competitive edge.

What you will bring on the journey

• Bachelor's or Master's degree in computer science, Data Science, Biostatistics, or a related field. Deep understanding of data processing, feature engineering, and machine learning algorithms, with a focus on health data analytics.
• Experience with Large Language Models (LLMs) and their application in natural language processing, especially in healthcare contexts.
• Proficiency in Python, with extensive knowledge of data science and machine learning libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with Apache Airflow for workflow management and automation. Solid understanding of the AWS ecosystem and its applications.
• Demonstrated ability to deploy predictive models into production, with a keen eye for monitoring and improving performance.

Required Skills:

• Proficiency in Python, with extensive knowledge of data science and machine learning libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with Apache Airflow for workflow management and automation. Solid understanding of the AWS ecosystem and its applications.
• Excellent communication skills, capable of conveying complex data insights to both technical and non-technical stakeholders

Additional requirements:

• Singapore Citizen, Permanent Resident, Employment Pass or Personalized Employment Pass

What we offer:

An exciting, diverse and value based working environment.

Award-winning corporate university offering personal development and training opportunities.

Competitive base salary

Contribute to the communities where we reside.

Be You. Be Aptar

Aptar is an equal opportunities employer. We believe that a diverse workforce is key to our success. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.