Education & Experience

• Bachelor’s in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• 5+ years of experience in data science or applied machine learning roles.
• Proficiency in Python or R, with strong experience in libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Solid understanding of statistical methods, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Power BI, Tableau, Plotly, or matplotlib/seaborn).
• Familiarity with big data platforms (e.g., Apache Spark) and cloud-based environments (e.g., AWS, Azure, or GCP).
• Strong communication and stakeholder management skills.
• Experience with model deployment, monitoring, and lifecycle management is a plus.