Data Scientist

Are you ready to get ahead in your career?

• We want to empower you turn your ambitions into achievements.
• We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
• Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
• To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?

Driving innovation , creativity & unlocking deep value in the space of AI/ML through data science has sparked & enabled a whole stream of new opportunities in Maxis . As we grow deeper & more mature in this space , this leading role would be a part of our AI & Advanced Analytics Center of Excellence to drive & expand these capabilities to the next level.

Experience with large scale distributed data processing frameworks like Hadoop and Spark

Experience of high-level programming language for analysis (e.g. Spark, Scala, Python, Julia, Java) a plus

Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.

Experience translating analysis results into business recommendations.

Improve models and algorithms to further optimize business outcomes.

Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.

Work in the following areas:

 Understanding of machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision trees.

Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

Experience with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.

An in depth knowledge of AI core components , operations & techniques through their real-world advantages/drawbacks, and ability to prescribe and implement feasible and appropriate conventional/AI related techniques that serve as solutions to problems.

Strong ability to implement, improve, and deploy ML and Math models 

Conduct systems tests for security, performance, and availability.

Develop and maintain the design and troubleshooting/error documentation.

Create cost effective scalable systems and develop innovative algorithm solutions.

Research on algorithm improvements for higher performance, accuracy, and optimality.

Drive decision science aspects as a standard user experience -staff or customer- process (cognitive biases, cross-cultural reasoning, statistical interpretation, human factor impact, algorithmic bias etc.).

Actively showcase the added value of design thinking, data-driven decisions, agile and user-centric methods.

Support research (user and markets) and data processes for enhanced decision quality.

Develop strategic action plans integrating human factors and data science to improve AI driven decisions and choice architecture (persuasive design).

 
This job is ideal for you if you have:

BS/MS/PhD in Science & Engineering (Statistics, Management, Cognitive / Psychology, AI, Analytics, Marketing, Design, Finance , Econometrics , ).

Up to 5 yrs relevant experience 

Experience with common data science toolkits, programming languages, visualisation tools and SQL/NoSQL databases.

Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc.

Experience with distributed computing platforms and open-source tools and libraries.

Experience developing and deploying to the cloud.

Familiar or prone to adopt design thinking methods.

Able to work under pressure and change, and balance among speed, reliability, interpretability.

Good working knowledge of productivity tools such as G Suite, Git, Jira, Confluence.

Experience with code versioning, code review and documentation.

Ability to work with incomplete or imperfect data to extract usable information.

Attention to detail, data accuracy and quality of output.

Be positive, passionate, collaborative, self-motivated, responsible, dependable and enthusiastic team player.

Demonstrated skills in selecting the right statistical tools given a data analysis problem.

Demonstrated effective written and verbal communication skills.

Demonstrated leadership and self-direction.

Demonstrated willingness to both teach others and learn new techniques 

Ability to mentor junior data scientists

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.