Data Engineer

Posted:
10/16/2024, 9:02:38 PM

Experience Level(s):
Junior ⋅ Mid Level

Field(s):
AI & Machine Learning ⋅ Data & Analytics

     

JOB DESCRIPTION:

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:

  • 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
  • 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

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.

     

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)

     

     

     

Abbott

Website: https://abbott.com/

Headquarter Location: Illinois City, Illinois, United States

Employee Count: 1001-5000

Year Founded: 1944

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Biotechnology ⋅ Emergency Medicine ⋅ Genetics ⋅ Health Care ⋅ Health Diagnostics ⋅ Manufacturing ⋅ Medical ⋅ Medical Device ⋅ Nutrition ⋅ Pharmaceutical