Position Summary
1. Contribute to continued discovery of business areas and strategic decision making by resolving issues through data analysis.
2. Strong expertise in probability and statistics.
3. Demonstrated experience in Deep Learning model: design, develop, train, and optimize.
4. Proficiency hands-on experience with frameworks such as PyTorch or TensorFlow.
5. Have a good communication skill, organization, and teamwork.
6. Willing to explore and learn to ensure delivered task
Role and Responsibilities
1. [Data analysis] Define and specify data analysis target and support modeling/verification/test/application.
2. [Data-based decision making] Research and support the insight to support decision making in the areas of business direction/market strategy/product strategy.
3. [Verification of decision effects] Support methods to verify the effect of decision on business (A/B Test, Simulator).
4. [Algorithms assetization] Support implementing, evaluating and verifying algorithms for data analysis.
5. Familiar with Generative AI Architecture.
6. Having experience in on-device model conversion.
7. Excellent communication abilities in English and Bahasa Indonesia

Skills and Qualifications

• Develops professional expertise by complying with company policies and procedures
• Works on problems of moderate scope where analyzing situations or data requires a review on various factors
• Exercises judgment within defined procedures and practices to determine appropriate action
• Normally receives general instructions on routine work with detailed instructions on new projects or assignments
• Generally requires a bachelor’s degree with a minimum 2 years related experience, or advanced degree without experience
• Bachelor degree in Computer Science, Computer Engineering, Information Technology, Software Engineering and Electrical Engineering, Math, Physics, from Reputable Universities
• Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Please refer the Job description for details