Data Scientist

Project-level containerized stacks managed through Nexus Coco+ and VSCode as primary IDE/tooling environments Snowflake Azure ChatGPT A proprietary DataScience CLI providing tooling, libraries, and access management Standard libraries packaged through the DataScience CLI and Nexus

Bachelor’s degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative field. 3+ 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.