Job Scope
Data Scientist team under Data Innovation. This team purpose is to lead build and execution of AI applications (predictive AI and generative AI). Full-Stack Data Scientist will be responsible for the end-to-end data science lifecycle, from data acquisition and processing to model development, deployment, and monitoring.
Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
- 5+ years of experience in data science, machine learning, and generative AI
- Proven track record of developing and deploying generative AI models and applications
- Extensive experience with deep learning frameworks (e.g., Tens or Flow, PyTorch)
- Experience with cloud computing platforms and distributed training techniques
- Experience in leading and mentoring data science teams
- Proficiency in programming languages such as Python, R, or Julia
- Expertise in generative AI techniques (e.g., GANs, VAEs, Diffusion Models)
- Strong knowledge of machine learning algorithms and techniques
- Experience with data preprocessing, feature engineering, and model evaluation
- Familiarity with big data technologies (e.g., Hadoop, Spark)
- Knowledge of software engineering practices and DevOps principles
- Excellent communication and presentation skills
- Ability to collaborate with cross-functional teams
- Strong research and analytical skills
- Understanding of ethical AI practices and responsible development
