Data Engineer

Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.

Primary Function:

1. Uses statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges.
2. Use data and visualizations to provide guidance to product development and process development scientists for determining suitable process conditions to products.
3. Collect, organize, and apply techniques to implement data analytics tools to support product development activities.
4. Lead product and process technical support initiatives for the Abbott Pilot Plant (APP).

Major Responsibilities:

1. Model development – Design and develop machine learning models using Azure tools, including Azure Machine Learning Studio. Preprocess data, select appropriate algorithms, train models, and fine-tune parameters to ensure accurate predictions.
2. Feature engineering – Collaborate with data engineer(s) to build scalable and efficient data pipelines for training and testing. Explore and implement advanced techniques in data augmentation, regularization, and model compression.
3. Strong understanding of machine learning algorithms, feature engineering, and model evaluation.
4. Develop data collection procedures to include all relevant information for developing analytic systems.
5. Processing, cleansing, and validating the integrity of data to be used for analysis.
6. Collaborate with Business and IT teams.
7. Develop data analytics visualizations tools to facilitate Product design review sessions.
8. Collect, organize, and present manufacturability data to the cross-functional teams. Develop trend reports and give insights to product development activities.
9. Work effectively and cooperatively with others; establish and maintain good working relationships with internal and external partners. Provide honest, accurate feedback to peers & superiors, shares relevant information openly.

Requirements:

1. Bachelor's Degree in Computer Science, Software Engineering or relevant fields.
2. Minimum 3 years hands-on experience in data science tools and applications.
3. Proficiency in Python and SQL.
4. Prior exposure to manufacturing is advantageous.
5. Excellent oral and written communication skills.
6. Ability to present results in a clear manner, and able to articulate business value and impact of data analytics programs.
7. Demonstrated use of data and application of data analytical techniques and methodologies.
8. Demonstrated project management skills related to continuous improvement.

*Kindly note this position is based at Tuas.

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.