Section Manager - Data Science

Responsibilities:

• Analyze given datasets to extract actionable insights, develop and implement data collection systems, and utilize data visualization tools (PowerBI)
• Develop, implement, and manage predictive models to forecast trends, enhance predictive accuracy with machine learning techniques, and validate models iteratively.
• Apply optimization techniques to improve organizational processes, collaborating with teams to implement solutions.
• Design and develop generative AI models, experiment with different architectures, and ensure they meet organizational and ethical standards.
• Deploy and manage AI models on Azure, utilizing Azure Machine Learning and Databricks to streamline development and maintain system performance.
• Work closely with cross-functional teams, communicate complex concepts to non-technical stakeholders, and share knowledge with team members.

Qualifications:

1. Bachelor's degree or higher in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field.

2. 2-4 years of experience in data analysis, data science, machine learning, or a related field.

3. Strong programming skills in Python and experience with ML related libraries such as Pandas, Numpy, Matplotlib, Scikit-learn, TensorFlow, and/or PyTorch, etc.

4. Experience with data visualization tools such as Matplotlib, Seaborn, and Power BI.

5. Experience or willing to learn in generative ai in-house development based on Azure services.

6. Good understanding of machine learning algorithms, data structures, and algorithms.

7. Good mathematical background in statistics, linear algebra, and calculus.