Data & Process Engineer

     

JOB DESCRIPTION:

Primary Function:

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

Major Responsibilities:

• 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.
• 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.
• Strong understanding of machine learning algorithms, feature engineering, and model evaluation.
• Develop data collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Collaborate with Business and IT teams
• Develop data analytics visualizations tools to facilitate Product design review sessions.  
• Collect, organize, and present manufacturability data to the cross functional teams.  Develop trend reports and give insights to product development activities.
• 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:

• Bachelors Degree in Computer Science, Software Engineering or relevant fields
• Min 3 years hands on experience in data science tools and applications
• Proficiency in Python and SQL
• Prior exposure to manufacturing is advantageous but not required
• Excellent oral and written communication skills
• Ability to present results in a clear manner, and able to articulate business value and impact of data analytics programs
• Demonstrated use of data and application of data analytical techniques and methodologies
• Demonstrated project management skills related to continuous improvement

*Kindly note this position is based at Tuas

     

The base pay for this position is

N/A

In specific locations, the pay range may vary from the range posted.

     

JOB FAMILY:

Engineering

     

DIVISION:

ANRD Nutrition Research & Development

        

LOCATION:

Singapore > Singapore : SN20

     

ADDITIONAL LOCATIONS:

     

WORK SHIFT:

Standard

     

TRAVEL:

Not specified

     

MEDICAL SURVEILLANCE:

Not Applicable

     

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)