AI Data Scientist

Summary

The AI Data Scientist will design and develop machine learning and AI models for real-world business problems, extracting, cleaning, and analyzing large-scale datasets from diverse sources. They will apply statistical modeling, predictive analytics, and advanced ML techniques, communicate data insights to non-technical stakeholders, and collaborate with cross-functional teams. Proficiency in Python, SQL, and ML libraries is required, along with experience working with large datasets and data visualization tools. A relevant degree (MSc or PhD preferred) is also needed.

Key Responsibilities

• Designing and developing machine learning and AI models for real-world business problems
• Extracting, cleaning, and analyzing large-scale datasets from diverse sources
• Applying statistical modeling, predictive analytics, and advanced ML techniques
• Communicating data insights and model results to non-technical stakeholders
• Collaborating with data engineers, product managers, and software teams to deploy solutions
• Leveraging tools such as Python, SQL, and cloud-based ML platforms (AWS, GCP, or Azure)

Core Requirements

• Proven experience in data science, machine learning, and AI application
• Proficiency in Python, SQL, and ML libraries (Pandas, scikit-learn, XGBoost, TensorFlow, or PyTorch)
• Experience working with large datasets and applying advanced statistical methods
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Plotly)
• Strong problem-solving skills and a data-driven mindset
• Degree in Computer Science, Data Science, Statistics, or a related field (MSc or PhD preferred)