Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Experience:

• 3-5 years of relevant experience in data science, machine learning, or a related field.
• Strong understanding of statistical modeling, machine learning algorithms, and predictive modeling.

Programming Skills:

• Proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).

Machine Learning Skills:

• Experience with machine learning frameworks and libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
• Ability to develop and deploy machine learning models.

Data Visualization:

• Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Ability to communicate insights effectively through visualizations.

Database Skills:

• Familiarity with working with databases and SQL.

Problem-Solving Skills:

• Strong analytical and problem-solving skills.
• Ability to work on complex business problems and provide data-driven solutions.

Communication Skills:

• Excellent communication skills to effectively convey findings and insights to both technical and non-technical stakeholders.