Key Responsibilities
• Data Preparation: Gather, clean, and organize raw data to ensure accuracy.
• Predictive Modeling: Build machine learning models and algorithms to forecast outcomes.
• Data Analysis: Find patterns, trends, and anomalies in complex datasets.
• Visualization & Reporting: Create charts and dashboards to present findings to leaders.
• Collaboration: Work with software engineers, product managers, and data engineers to put models into production.
Required Qualifications & Skills
• Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related STEM field.
• Programming: Proficiency in Python or R, plus SQL for database querying.
• Math & Stats: Strong understanding of probability, statistics, and algorithm optimization.
• Tools & Frameworks: Experience with data manipulation libraries (Pandas, NumPy) and machine learning tools (Scikit-learn, TensorFlow, PyTorch).
• Communication: Ability to explain technical results clearly to non-technical stakeholders.