Required Skills: anomaly detection, pattern recognition, classification, clustering, time-series analysis, predictive modeling, Python, R, SAS

Job Description

• 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.