Data Scientist

Abbott Laboratories; Singapore; On-site; USD 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company that is a leader in healthcare innovation. In this exciting role, you will leverage your expertise in data analytics to transform manufacturing data into actionable insights, driving operational improvements and efficiency. Collaborate with stakeholders to define business needs and develop machine learning models that enhance decision-making processes. This position offers a unique opportunity to contribute to significant advancements in healthcare, making a real impact on people's lives. If you are passionate about data and its potential to drive change, this is the perfect opportunity for you.

Qualifications

• 6+ years of experience in Data Analytics, preferably in manufacturing.
• Advanced knowledge in statistical methods and machine learning.

Responsibilities

• Analyze manufacturing data to provide actionable insights.
• Develop machine learning models for predictive analytics.

Skills

Data Analysis

Machine Learning

Statistical Analysis

Programming (Python, Java, Scala, C++, R)

Business Acumen

Education

Bachelor's Degree in Computer Science

Degree in Data Analytics

Tools

Linux/Unix

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.

Major Responsibilities:

• Analyze manufacturing data, draw insights, and present results in a cohesive, intuitive, and simplistic manner
• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
• Prepare both structured and unstructured data for analysis
• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value
• Conduct advanced statistical analysis to determine trends and significant data relationships
• Develop machine learning models to apply test data algorithms to future data
• Validate models/analytical techniques, and develop algorithms to execute analytical functions
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
• Proactively identifies opportunities for significant operational, process or system level product improvements.
• Communicate model logic and restrictions
• Work closely with the business to understand the domain and iteratively refine analyses
• Transform analytical results into actionable recommendations for business partners using deep industry knowledge
• Translates manufacturing data into actionable insight that can be used to increase manufacturing capacity, efficiency and achieve quality objectives
• Provides input into developing departmental and site processes and procedures.
• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.

Requirements:

• Bachelor's Degree in Computer Science, Data Analytics or similar discipline
• Minimum 6 years of related work experience in Data Analytics, prior experience in manufacturing advantageous
• Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
• Experience in applying data analysis techniques to large data sets
• Advanced analytics knowledge and application in the field of Statistics, Mathematical programming
• Business acumen and experience with operational or strategic systems

*Kindly note this position is based in 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

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.

Major Responsibilities:

• Analyze manufacturing data, draw insights, and present results in a cohesive, intuitive, and simplistic manner
• Utilize technologies to collect, clean, analyze, predict, and effectively communicate information
• Prepare both structured and unstructured data for analysis
• Able to examine data sets and determine the best end-to-end analysis plan to address key business questions and create value
• Conduct advanced statistical analysis to determine trends and significant data relationships
• Develop machine learning models to apply test data algorithms to future data
• Validate models/analytical techniques, and develop algorithms to execute analytical functions
• Works with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.
• Proactively identifies opportunities for significant operational, process or system level product improvements.
• Communicate model logic and restrictions
• Work closely with the business to understand the domain and iteratively refine analyses
• Transform analytical results into actionable recommendations for business partners using deep industry knowledge
• Translates manufacturing data into actionable insight that can be used to increase manufacturing capacity, efficiency and achieve quality objectives
• Provides input into developing departmental and site processes and procedures.
• Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.

Requirements:

• Bachelor's Degree in Computer Science, Data Analytics or similar discipline
• Minimum 6 years of related work experience in Data Analytics, prior experience in manufacturing advantageous
• Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R
• Experience in applying data analysis techniques to large data sets
• Advanced analytics knowledge and application in the field of Statistics, Mathematical programming
• Business acumen and experience with operational or strategic systems

*Kindly note this position is based in 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:

Manufacturing

DIVISION:

ANSC Nutrition Supply Chain

LOCATION:

Singapore > Singapore : SN01

ADDITIONAL LOCATIONS:

Ireland > Clonmel : Cashel Road, Ireland > Cootehill : Dromore West

WORK SHIFT:

Standard

TRAVEL:

Not specified

MEDICAL SURVEILLANCE:

Yes

SIGNIFICANT WORK ACTIVITIES:

Not Applicable