Kyanon Digital is a Vietnam-based tech powerhouse. We deliver world-class solutions to clients across the globe. At Kyanon Digital, we offer end-to-end solutions that encompass every facet of the digital landscape. With the slogan: Digital Impact that Matters, this has guided our team of over 300 employees for over 12 years, creating many positive changes for large clients in various industries.
We are seeking a highly skilled Data Scientist to join our team and drive data-driven innovation. The ideal candidate will possess a strong foundation in statistics, machine learning, and programming, coupled with a passion for extracting meaningful insights from complex data. You will play a critical role in developing and implementing data-driven solutions that address complex business challenges.
How You Can Contribute
1. Research & Development
- Conduct thorough research of scientific publications to identify cutting-edge AI methodologies and techniques applicable to real-world problems.
- Design and execute experiments to validate hypotheses and improve AI models.
- Develop innovative algorithms and models to solve specific business challenges.
- Transform research findings into practical prototypes and products.
- Collaborate with interdisciplinary teams to apply AI research outcomes to production systems.
- Evaluate and refine existing models to improve performance and accuracy.
- Analyze large datasets to derive actionable insights and improve existing systems.
2. Implementation & Application
- Develop and implement machine learning models and algorithms for real-world applications.
- Build and optimize AI solutions using statistical techniques and machine learning frameworks.
- Conduct experiments to validate the effectiveness of models and algorithms in practical scenarios.
- Collaborate with cross-functional teams, including product managers and engineers, to integrate solutions into products.
- Extract meaningful insights from diverse data types such as images, videos, and text.
- Ensure research can be translated into practical applications for product development.
3. Knowledge Sharing & Collaboration
- Publish research findings in peer-reviewed journals and present at conferences.
- Stay updated with the latest advancements in AI and machine learning.
- Mentor junior researchers and contribute to the development of research proposals.
- Communicate complex technical concepts to non-technical stakeholders.
- Collaborate with academic institutions and industry partners on research projects.
What You Need To Maximize Your Contribution
1. Education & Experience
- BsC/Master or equivalent experience in Computer Science, Data Science, Machine Learning, Artificial Intelligent or a related technical field.
- 3+ years of experience in AI research with a strong track record of delivering applied solutions.
- Demonstrable experience in AI research, preferably with publications in renowned journals.
- Experience working with various AI techniques, including supervised and unsupervised learning, reinforcement learning, and neural networks.
- Experience working as a Research Assistant in AI-related projects is highly valued.
2. Technical Skills
- Strong proficiency in programming languages such as Python, R.
- Deep understanding of machine learning algorithms, neural networks, and computational statistics.
- Experience with statistical analysis and experimental design.
- Proficiency in data manipulation and analysis using tools like SQL and Pandas.
- Expertise with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of software engineering principles and practices (optional).
3. Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication skills to convey complex findings to both technical and non-technical audiences.
- Ability to work independently and collaboratively within a team environment.
- Creativity and curiosity with a willingness to explore new ideas and approaches.
- Critical thinking skills to tackle complex challenges.
- Passion for continuous learning and adapting to new technological advancements.
We appreciate your interest in career opportunities at Kyanon Digital. For those candidates whose skills don't perfectly match the current role, we'll keep your profiles in our talent pool and may contact you for future opportunities. Shortlisted candidates will hear from us within 5 to 10 business days.
