Head of Data Science
دوام كامل
في MAXIS Malaysia
في
Malaysia
نُشرت يوم October 25, 2024
تفاصيل الوظيفة
Time left to apply: End Date: December 31, 2024 (30+ days left to apply) Job requisition ID: JR11572 Are you ready to get ahead in your career?
- We want to empower you to 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 new talent to innovate and grow with us in a culture that values commitment, performance, and possibilities.
- 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.
- Decision intelligence
- 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).
- BS/MS/PhD in Science & Engineering (Statistics, Management, Cognitive/Psychology, AI, Analytics, Marketing, Design, Finance, Econometrics).
- More than 10 years of relevant experience.
- Experience with common data science toolkits, programming languages, visualization 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, and 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 an 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.
- 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.
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