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Data Scientist jobs in Malaysia

Data Scientist

Mattel, Inc.

Kuala Lumpur
Hybrid
MYR 80,000 - 120,000
Yesterday
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Senior Data Scientist

-

Kuala Lumpur
Hybrid
MYR 200,000 - 250,000
2 days ago
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Global Supply Chain Data Scientist - Insights & Automation

Mattel, Inc.

Kuala Lumpur
Hybrid
MYR 80,000 - 120,000
Yesterday
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Data Scientist: ML, LLMs & Big Data Analytics

CIMB

Kuala Lumpur
On-site
MYR 80,000 - 100,000
Yesterday
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Data Scientist

CIMB

Kuala Lumpur
On-site
MYR 80,000 - 100,000
Yesterday
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Data Scientist — ML & Analytics for Insurance (Hybrid)

QBE Asia

Petaling Jaya
Hybrid
MYR 200,000 - 250,000
Yesterday
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Data Scientist, Asia

QBE Asia

Petaling Jaya
Hybrid
MYR 200,000 - 250,000
Yesterday
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Hybrid Data Scientist - ML & Predictive Analytics

Touch 'n Go Group

Kuala Lumpur
Hybrid
MYR 60,000 - 80,000
Yesterday
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Associate, Data Scientist | TNG

Touch 'n Go Group

Kuala Lumpur
Hybrid
MYR 60,000 - 80,000
Yesterday
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Senior Data Scientist – People Analytics & ML Leader

-

Kuala Lumpur
Hybrid
MYR 200,000 - 250,000
2 days ago
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Data Scientist II

Asia Digital Engineering (ADE)

Sepang
On-site
MYR 70,000 - 90,000
3 days ago
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Data Scientist

Mattel

Kuala Lumpur
On-site
MYR 80,000 - 110,000
3 days ago
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Aviation Data Scientist II — Real-Time ML & MLOps

Asia Digital Engineering (ADE)

Sepang
On-site
MYR 70,000 - 90,000
3 days ago
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Data Scientist - Global Supply Chain Analytics

Mattel

Kuala Lumpur
On-site
MYR 80,000 - 110,000
3 days ago
Be an early applicant

Junior AI Data Scientist: Multi-Agent ML & RAG Engineer

EY

Kuala Lumpur
On-site
MYR 100,000 - 150,000
7 days ago
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Junior Data Scientist (Recent graduates are encouraged to apply)

EY

Kuala Lumpur
On-site
MYR 100,000 - 150,000
7 days ago
Be an early applicant

Data Scientist

Hibiscus Petroleum Berhad

Kuala Lumpur
On-site
MYR 90,000 - 130,000
10 days ago

Data Scientist

Shell

Cyberjaya
On-site
MYR 80,000 - 120,000
9 days ago

Data Scientist: Drive Digital Transformation & AI Insights

Hibiscus Petroleum Berhad

Kuala Lumpur
On-site
MYR 90,000 - 130,000
10 days ago

Senior MMM Data Scientist – Marketing Analytics

Shell

Cyberjaya
On-site
MYR 80,000 - 120,000
9 days ago

Data Scientist

The British American Tobacco Group

Selangor
On-site
MYR 80,000 - 120,000
16 days ago

Data Scientist Specialist

Zurich 56 Company Ltd

Kuala Lumpur
On-site
MYR 60,000 - 80,000
28 days ago

Senior Data Scientist

Shell

Cyberjaya
On-site
MYR 100,000 - 150,000
16 days ago

Senior Executive, Data Analytics (Data Scientist) Department

Private Advertiser

Cyberjaya
On-site
MYR 250,000 - 300,000
21 days ago

AI & Data - Data Scientist, Experienced Associate/Senior Associate

Ernst & Young Advisory Services Sdn Bhd

Kuala Lumpur
On-site
MYR 70,000 - 90,000
23 days ago

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Data Scientist
Mattel, Inc.
Kuala Lumpur
Hybrid
MYR 80,000 - 120,000
Full time
2 days ago
Be an early applicant

Job summary

A global toy manufacturer is seeking a Data Scientist to join their Global Supply Chain Analytics team. You will analyze data and provide insights to drive data-based decision-making across the organization. The position requires strong SQL expertise and experience with data visualization tools like Tableau. A Bachelor's degree and at least 3 years of relevant experience are necessary. The role promotes collaboration and innovation within the team's culture.

Qualifications

  • At least 3 years of relevant work experience.
  • Fluency in English required.
  • Hands-on experience with data visualization tools.

Responsibilities

  • Analyze various global data sources.
  • Report patterns and insights to decision-makers.
  • Automate operational reporting.

Skills

SQL Expertise
Data Visualization with Tableau
Data Mindset
Collaboration Tools

Education

Bachelor's Degree

Tools

Tableau
Python
R
JIRA
Confluence
Job description

CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard—when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.

The Team

Global Supply Chain Analytics (SCA) are strategic partners that influence and support decisions for the Global Supply Chain (GSC) planning organization. This is accomplished through the adoption of advanced analytical tools to create user friendly reports, dashboards, and tools. Outstanding analysis is provided through descriptive, diagnostic, predictive, and predictive analytics. Embracing Speed and Efficiency is accomplished through automation and streamlining metrics and analyses.

The Opportunity

This role is for a Data Scientist within the Global Supply Chain Analytics team. You'll be responsible for analyzing global data, providing recommendations, and reporting key insights to decision-makers. A core part of your impact will be enabling easier access and analysis of data for the Global Supply Chain organization.

This position will report to the Analytics Manager in Supply Chain Analytics located in the UK.

What Your Impact Will Be
  • Perform analyses on various global data sources.
  • Provide recommendations based on standard procedures.
  • Report patterns, insights, and trends to decision-makers.
  • Identify data discrepancies and conduct trend analysis.
  • Automate operational reporting.
Technical Skills
  • Comfortable writing and evaluating SQL from various star schema databases.
  • Use SQL to extract and interpret data.
  • Understand dependencies of stored procedures, views, and scheduled jobs to manage data issues.
  • Support development of dashboards and reports using advanced tools, following standards and best practices (specifically mentioned Tableau development).
Mindset & Collaboration
  • Possess a "data mindset" and enjoy organizing data for easy interpretation.
  • Help drive data-driven decisions for the Global Supply Chain organization.
  • Build knowledge of the organization, processes, and customers.
  • Receive moderate guidance and direction.
Qualifications
What We’re Looking For
  • Education and Experience A Bachelor's Degree with at least 3 years of relevant work experience.
  • SQL Expertise A minimum of 3 years of primary responsibility using SQL (ideally with exposure to GBQ), coupled with familiarity in database analysis and management.
  • Data Visualization Hands-on experience with data visualization tools and dashboard development, such as Tableau, Cognos, or Thoughtspot.
  • Data Mindset A natural inclination towards organizing and interpreting data to drive insights.
  • Language Proficiency Fluency in English.
Preferred Qualifications
  • Supply Chain Knowledge Experience in Supply Chain Planning.
  • Programming Skills Familiarity with coding languages like Python and R.
  • Machine Learning Basic understanding or familiarity with Machine Learning concepts.
  • Collaboration Tools Experience using JIRA and Confluence.
Additional Information

Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles.

How We Work
  • We collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.
  • We innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.
  • We execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.
Our Approach to Flexible Work

We embrace a flexible work model designed to empower a culture of growth, optimism, and wellbeing, where every employee can reach their full potential. Combining purposeful in-person collaboration with flexibility, our focus is to optimize performance and drive connection for moments that matter.

Who We Are

Mattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.

Mattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.

Visit us at https://jobs.mattel.com/ and www.instagram.com/MattelCareers.

Mattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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