Data Scientist

· Bachelor’s degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.

· 5+ years of professional experience beyond degree in data science, machine learning, advanced analytics, statistical modeling, or a related technical discipline.

· Experience developing machine learning or statistical solutions for complex, real-world business problems.

· Experience with techniques applicable to anomaly detection, pattern recognition, classification, clustering, time-series analysis, or predictive modeling.

· Proficiency in at least one programming language commonly used for data science and machine learning, such as Python, R, or SAS.

· Strong SQL skills and experience working with large relational or analytical data platforms.

· Experience using source control and collaborative software development practices.

· Experience developing reusable, maintainable analytical code rather than exclusively notebook-based or ad hoc analyses.

· Ability to communicate technical concepts, analytical findings, system behavior, and model limitations to both technical and non-technical stakeholders.