Data Scientist

About the Company

Sand Technologies is a global Physical AI company using data and AI to make critical industries work better. We partner with governments, cities and enterprises to improve how essential systems operate across healthcare, water, energy, telecommunications and infrastructure.

Responsibilities

• Conduct independent and collaborative research and development of data science and machine learning models
• Develop cutting-edge models that drive business value leveraging internal and external data sources
• Apply data science and machine learning models to business problems in collaboration with cross-functional teams
• Communicate results and impact to both technical and non-technical stakeholders
• Perform cutting edge research in Physical AI at the intersection of engineering models and AI
• Mentor junior data scientists to foster a culture of continuous improvement

Requirements

• 3+ years of applied data science experience in water, wastewater, utilities, or smart infrastructure
• Experience working with operational telemetry data such as SCADA, AMI, IoT, or sensor systems
• Expertise in time-series modeling, anomaly detection, and forecasting for infrastructure systems
• Experience applying geospatial analytics and/or graph/network modeling
• Proven track record of deploying ML solutions into production including data pipelines and MLOps
• M.Sc. in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
• Ability to travel to client sites in Baltimore at least 4 days a week

Preferred Qualifications

• PhD in a quantitative field