Sand Technologies · 5 hours ago
Senior Data Scientist
United States
Full-time
Remote
Senior Level
5+ years expSand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. They are seeking an experienced Senior Data Scientist to leverage advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within the organization and its clients.
Computer Software
Responsibilities
Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources
You are skilled in, and continue to improve upon your knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies
Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into scalable products and services
Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences
Perform cutting edge research in Physical AI, at the intersection of engineering models and AI
Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation
Qualification
Required
5+ years of applied data science experience in water, wastewater, utilities, or smart infrastructure environments
Demonstrated experience working with operational telemetry data (SCADA, AMI, IoT, sensor systems)
Strong expertise in time-series modeling, anomaly detection, and forecasting for infrastructure systems
Experience applying geospatial analytics and/or graph/network modeling in real-world systems
Proven track record of deploying ML solutions into production, including data pipelines, MLOps, and model monitoring
Ability to translate advanced analytics into actionable insights for engineering and operations teams
Strong communication skills and experience working with public-sector or regulated environments
M.Sc. (Master's degree) in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required
Preferred
PhD in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
Company
Sand Technologies
Making essential industries safer, more reliable, and more efficient.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase