Data Scientist (12-Month Contract) (MNC, IT Services)

Private Advertiser; Selangor; On-site; MYR 120,000 - 180,000; Part time

Job summary

Private Advertiser is seeking a Data Scientist for a 12-month contract in IT services. The role focuses on building predictive models, dashboards, and governance for data integrity.

You will collaborate with ML engineers, translate complex questions into analytics, and ensure regulatory compliance while driving enterprise decisions with advanced analytics.

Qualifications

• Experience: At least 6 years in data science, advanced analytics, or applied statistics.
• Cross-functional exposure delivering ML/analytics solutions across multiple functions.
• Bachelor’s degree in a data-related field is required.
• Proficiency in Python and SQL; R is a plus; strong BI tooling knowledge.

Responsibilities

• Translate business questions into analytical frameworks and build predictive models.
• Collaborate with ML engineers to deploy production-ready models.
• Design dashboards and KPI tracking in Power BI to show ROI of analytics initiatives.
• Uphold data quality and comply with data security and privacy rules.

Skills

Python

SQL

R

Power BI

Machine Learning

Analytics

Education

Bachelor’s degree in Data Science / Statistics / Mathematics / Computer Science / Engineering

Tools

Snowflake

Job description

Data Scientist (12-Month Contract) (MNC, IT Services)

Advanced Analytics & Modeling: Translate complex business questions into analytical frameworks; build predictive, forecasting, classification, and optimization models; and run scenario simulations to guide enterprise decisions.

AI & Machine Learning Innovation: Partner with ML engineers to deploy production-ready models while piloting cutting-edge use cases in Generative AI and Agentic AI.

Stakeholder Insights & BI: Design executive dashboards, reports, and KPI measurement systems in Power BI (or equivalent tools) to track the business ROI of analytics initiatives.

Governance & Data Integrity: Uphold data quality benchmarks, support regional governance frameworks, and maintain strict adherence to data security and privacy regulations.

Core Qualifications & Requirements

Experience: At least 6 years in data science, advanced analytics, or applied statistics. Background in large enterprise or corporate environments is mandatory.

Cross-Functional Exposure: Proven track record delivering ML and analytics solutions across multiple functions (e.g., Finance, Supply Chain, Sales, and Marketing).

Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field.

Technical Stack:

Core Languages & Querying: Python and SQL (R is a plus).

Cloud & Data Platforms: Modern cloud data warehouses (Snowflake preferred).

Methods: Machine learning, statistical modeling, experimental design, and feature engineering.

Visualization: Power BI or modern BI equivalents, paired with strong narrative storytelling skills.