Job Summary:
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. This role involves analyzing large datasets to uncover insights that drive business decisions, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions.

Key Responsibilities:

• Data Preparation: Collecting, cleaning, organizing, and transforming raw data into a format suitable for analysis by collaborating with data engineers and business.
• Model Development: Build and refine predictive models and machine-learning algorithms to address business challenges including recommendation engines, customized data models, customer journeys, etc.
• Data Visualization: Present complex data insights using data visualization techniques to stakeholders across the organization.
• Collaboration: Work closely with techies and business experts to demonstrate data insights for better data-driven decision.
• Innovation: Stay updated with industry trends and technologies, proposing innovative solutions to enhance business processes

• Bachelor’s or Master’s degree in Computer Science, Engineering, Economics Mathematics, or a related field.
• Programming proficiency in Python, R, & SQL.
• Problem-solving and analytical thinking.
• Experience with data visualization tools (Tableau, Power BI).
• Expertise in statistical analysis and machine learning.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries (e.g., scikit-learn, pandas).
• Practical experience with big data platforms (Databricks, Spark) is a plus.
• Practical experience with Cloud platforms (Azure/AWS/GCP) is a plus.
• Knowledge of Prompt Engineering & Gen AI tools & techniques is a plus.
• Knowledge & Practical experience of Deep Learning model development is a plus
• Excellent communication abilities for technical and non-technical audiences
• Strong collaborative mindset and team orientation
• Customer-focused approach
• Ability to work with integrity and speak up when needed

• Hình thức: Nhân viên chính thức
• Độ tuổi: Không giới hạn tuổi
• Lương: Cạnh tranh