Job Description

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)