Data scientist

At Jabil (NYSE: JBL), we are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, supply chain, and manufacturing solutions. With 60 years of experience across industries and a vast network of over 100 sites worldwide, Jabil combines global reach with local expertise to deliver both scalable and customized solutions. Our commitment extends beyond business success as we strive to build sustainable processes that minimize environmental impact and foster vibrant and diverse communities around the globe.

DATA SCIENCE

JOB DESCRIPTION

Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow!

JOB SUMMARY

A data scientist is a statistical analyst who have working experience in the field of data science. Work with other data scientists, ML Ops team, R&D team, Business users’ team etc. in collecting, analyzing, interpret data sets and build AI/ML models to drive optimization and improvement of product development. As part of the company's AI/ML team member, data scientist is required to provide help in developing custom data models and algorithms to apply to data sets. Data scientist must also coordinate with different functional teams to implement AI/ML and monitor outcomes.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Lead/work with team members to lead AI/ML cases with proper planning and execution to deliver the cases and drive the efficiency for the Manufacturing.

Conducts data analysis, or Works with related team to design or build dashboards using generative AI tools

Works with engineering and data science teams to support model training, fine‑tuning, and deployment workflows, ensuring that machine learning and generative AI systems are properly integrated, monitored, and optimized based on business requirements.

Identifies and analyzes patterns with machine learning models or Generative AI models etc. during AI/ML model training, and utilize those for inferencing.

Educates the organization both from IT and the business perspectives people on new approaches, such as Generative AI, machine learning, AI computer Vision etc.

JOB QUALIFICATIONS & KNOWLEDGE REQUIREMENTS

Proficient in Python/R, Cloud techniques development experience is plus

Strong statistics knowledge

Familiar with regression models (i.e., xgboosting, lightGBM etc.), classification models (i.e., logistic regression, SVM, etc.), cluster models are preferred

Familiar with Natural Language Processing (NLP) or Generative AI models

Good data sensitivity skill set is plus

Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus

Highly motivated and creative, thinking “out of the box”

Strong team mentality, interpersonal and communications skills

Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required

EDUCATIONAL BACKGROUND & EXPERIENCE

People who are taking his/her Bachelor or above degree in Computer Science, Machine Learning, Mathematics or Statistics

6 years or above experience of data mining/machine learning experience is preferred

3 years or above experience of Generative AI experience is preferred

1 years or above experience of AI computer vision experience is plus

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Accessibility Accommodation

If you are a qualified individual with a disability, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Jabil.com/Careers site as a result of your disability. You can request a reasonable accommodation by sending an e-mail to Always_Accessible@Jabil.com with the nature of your request and contact information. Please do not direct any other general employment related questions to this e-mail. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

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