Key Responsibilities
- Develop data-driven solutions using Python, integrating algorithms and mathematical models to address business challenges.
- Collaborate with researchers and stakeholders to analyze large datasets, identify trends, and derive actionable insights for decision-making.
- Design and implement data visualization tools using Matplotlib and Seaborn to communicate findings effectively.
- Utilize Jupyter Notebooks to document and share analysis results with teams and stakeholders.
- Troubleshoot and debug complex code issues, applying problem-solving skills to resolve technical obstacles.
Requirements
- Proficiency in Python with experience in data analysis, machine learning, and data visualization.
- Strong understanding of data structures, algorithms, and statistical techniques for real-world applications.
- Familiarity with Jupyter Notebooks, Pandas, NumPy, and scikit-learn.
- Excellent communication and collaboration skills for cross-functional teamwork.
- Strong problem-solving abilities to troubleshoot complex code issues.