Compulsory skills

Big Data

Data Scientist

Cyberjaya, Malaysia

Multinational, Global IT Shared Services

Our Client is an IT Shared Services supporting an international logistic company. Be part of a truly global team with over 1400 highly skilled IT professionals working in a friendly, multicultural environment of 26 nationalities in Cyberjaya. As a Data Scientist at Global IT Services , you will work in a unique setup with the Client's Consultants, DevOps engineers and Architect to design, develop and support innovative customer-centric analytics solutions unlocking their digital delivery capability within ITS Service Desk.

Being part of a global team, you will work collaboratively to conduct data analysis, develop machine learning models, build dashboards and create prototypes to bring efficiency to the ITS Operations. Examples of these includes but are not limited to, predictive analysis, ticket routing optimization, sentiment analysis, user personalization.

2-5 years’ experience in Data Science & Analytics, ideally with general experience with Python and libraries such as NumPy, Pandas and scikit-learn for purposes of training, selecting and tuning machine learning models, employing techniques like data preparation, feature engineering, cross-validation and bagging/ boosting.

Compulsory experience

2-5 years’ experience in Data Science & Analytics, ideally with general experience with Python and libraries such as NumPy, Pandas and scikit-learn for purposes of training, selecting and tuning machine learning models, employing techniques like data preparation, feature engineering, cross-validation and bagging/ boosting.

What You Will Do

As part of Analytics Solution Design , Development and Maintenance, you will design, implement and maintain innovative solutions using statistical models, machine learning and other data mining techniques.

This is an exciting role where you will handle challenges of analyzing real-world data, such as incompleteness, bias, class imbalance and high volatility.

You will create effective visualizations and dashboards to communicate insights with stakeholders and support the development and deployment of scalable and robust software solutions.

You will engage with stakeholders to understand business requirements, project scope and develop a sound project plan and think strategically and creatively, to exploit data science for a competitive advantage.

You will improve knowledge development and management by conducting research and experiments with new advances in analytical methods, algorithms and tools to deepen and develop new capabilities.

Elevate team competencies by sharing the latest trends and best practices.

Support knowledge management by ensuring that learnings and insights are documented.

What You Need:

At least 2-5 years’ experience in Data Science, Analytics.

Experience with Python, including packages such as NumPy, Pandas and scikit-learn for purposes in training, selecting and tuning machine learning models, employing techniques like data preparation, feature engineering, cross-validation and bagging/ boosting.

Experience in data visualization tools or libraries such as Tableau, Power BI or packages in Python, and general experience working with RDBMS.

Good verbal and written communication skills.

Nice-to-have: Experience with deployment and maintenance of models in production, e.g. APIs with capped response time, performance monitoring, automatic retraining and tracking data/ model lineage.

Nice-to-have: Experience in data crawling including popular social APIs and web scraping.

What's On Offer:

  •   Offered Salary

:

Up to RM 11,000 + RM 1,200 Allowances

  •   Working hours

:

40 hours spread over 5 days a week.

  •   Type             

:

Permanent

  •   Work Location 

:

Cyberjaya, Malaysia

  •   Offered Benefits

:

Meal Cards, On-Going Professional and Technical Training and Certifications, Choose Any Day for Your Vacation From Earned Public Holiday (Saturday and Ad Hoc), Smart Casual Everyday, Global Internal Job Opportunities Available, Unlimited Outpatient Medical, Home Office Possibilities

Ease of access: Central HQ location