Lead Data Scientist

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)