Education & Experience
- Master's degree in Data Science, Computer Science, Statistics, Operations Research, or related quantitative field
- 5-7 years of hands-on experience in machine learning and data science roles
- Demonstrated experience working with location-based or IoT sensor data
- Previous exposure to healthcare data environments strongly preferred
Technical Skills
- Programming: Expert-level proficiency in Python or R, with strong experience in data manipulation libraries (pandas, numpy, dplyr)
- Machine Learning: Hands-on experience with scikit-learn, TensorFlow, PyTorch, or similar frameworks
- Spatial Analytics: Proficiency with spatial analysis tools such as GeoPandas, PostGIS, QGIS, or ArcGIS
- Databases: Experience with SQL and spatial databases (PostgreSQL/PostGIS, MongoDB with geospatial features)
- Visualization: Strong skills in creating compelling data visualizations using matplotlib, plotly, seaborn, or similar tools
- Statistical Analysis: Solid foundation in statistical methods, hypothesis testing, and experimental design
Domain Knowledge
- Understanding of healthcare workflows, hospital operations, or facility management
- Familiarity with RTLS technologies (RFID, BLE, WiFi-based tracking, UWB)
- Knowledge of spatial optimization techniques and facility layout principles
- Experience with time-series analysis and forecasting methods
Preferred Qualifications
Advanced Technical Skills
- Experience with cloud platforms (AWS, Azure, GCP) and scalable data architectures
- Knowledge of streaming data processing (Apache Kafka, Spark Streaming)
- Familiarity with containerization (Docker, Kubernetes) and MLOps practices
- Experience with graph analytics and network analysis techniques
- Background in simulation modeling or discrete event simulation
Specialized Experience
- Previous work in healthcare analytics, particularly in operational efficiency
- Experience with facility planning software or space management systems
- Knowledge of hospital design principles and healthcare facility standards
- Background in industrial engineering or operations research
- Experience with A/B testing in operational environments
Leadership & Communication
- Proven track record of translating complex analytical insights into business value
- Experience mentoring junior data scientists or analysts
- Strong project management skills and ability to manage multiple priorities
- Publications or presentations at relevant conferences (healthcare informatics, spatial analytics)
