Data Scientist I

Jabil; Penang; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading global manufacturing company is looking for a Data Scientist in Penang, Malaysia. This role entails analyzing data sets and developing AI/ML models to enhance product development. Candidates should have strong proficiency in Python/R, and experience with machine learning techniques. The ideal applicant has a Bachelor’s or higher in a relevant field and will work with cross-functional teams. This position offers the chance to work in a dynamic environment focused on data-driven solutions.

Qualifications

• 3+ years of experience in data mining or machine learning is preferred.
• Ability to analyze and interpret data sets effectively.
• Experience working collaboratively in teams.

Responsibilities

• Identify and analyze patterns in large data sets.
• Educate the organization on statistical validation.
• Support data collection and model deployment.
• Design dashboards using tools like Power BI and Grafana.
• Conduct basic data analysis.

Skills

Python/R proficiency

Strong statistics knowledge

Familiarity with regression models

Natural Language Processing (NLP) knowledge

Good data sensitivity

Strong communication skills

Creativity

Team mentality

Enthusiasm for learning technologies

Education

Bachelor or above in Computer Science, Machine Learning, Mathematics or Statistics

Job description

At Jabil we strive to make ANYTHING POSSIBLE and EVERYTHING BETTER. We are proud to be a trusted partner for the world's top brands, offering comprehensive engineering, manufacturing, and supply chain solutions. With over 50 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 SCIENTIST

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 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

• Identifies and analyzes patterns in the volume of data supporting the initiative, the type of data (e.g., structured/unstructured data) and the speed or sudden variations in data collection
• Educates the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results
• Works with IT teams to support data collection, integration, model training, deployment, monitoring and retention requirements based on the input collected with the business
• Works with related team to design or build dashboards using tools like Power BI, Grafana etc.
• Conducts basic data analysis

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 is plus
• 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
• 3 years or above experience of data mining/machine learning experience is preferred

BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e‑mail address; direct phone call from a member of the Jabil team; or direct e‑mail with a jabil.com e‑mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e‑mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in.

Jabil, including its subsidiaries, is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other characteristic protected by law.

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 [e-mail] 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.