- Collect, clean and analyze data from various sources to identify patterns and trends.
- Develop, implement and maintain predictive models and algorithms using Python.
- Create Python scripts and applications to automate processes and improve the efficiency of data analysis.
- Interpret and communicate data analytics results to teams and stakeholders in a clear and concise manner.
- Collaborate with other departments to identify problems and opportunities that can be solved using data and software solutions.
- Create reports and visualizations that present findings in a clear and understandable manner.
- Keep up-to-date with the latest trends and technologies in data science and Python development.
- Knowledge in programming with Python, including the use of libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
- Experience with SQL databases and handling large volumes of data.
- Knowledge of machine learning and statistical techniques.
- Experience in developing scripts and applications in Python to automate processes.
- Intermediate to advanced English.