Sand Tech Holdings Limited
Data Scientist
Baltimore, United States
Sponsorship not specifiedDetected 5 days ago
Full-Stack DevelopmentMachine LearningData AnalysisData EngineeringData ScienceMLOpsStatisticsForecastingResearchCommunicationCollaborationSCADA
About the role
- We are seeking an experienced Data Scientist to join our growing data science team.
- The ideal candidate will have a strong background in statistics, machine learning and data analysis, along with a proven track record of delivering impactful, scalable solutions - with demonstrated experience getting data science solutions into production.
- Conduct independent (and collaborative) research and development of data science and machine learning models
Responsibilities
- Self-drive to communicate constantly using web collaboration and video conferencing is essential.
Nice to have
- 3+ 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.
- M.Sc. (Master's degree) in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field required
Skills
- Sand Technologies is a global Physical AI company using data and AI to make critical industries work better.
- Our work delivers proven real-world impact.
- Our people are ambitious, curious and relentlessly practical.
- Our teams work alongside clients in the field, solving hard problems and deploying solutions that last.
- Strong communication skills and experience working with public-sector or regulated environments.
Benefits
- 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.
- develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources.
Company info
- to harness AI to solve humanity's most pressing challenges.
- We let Our Clients Run the Company, Surf Like Yvon Chouinard to stay true to our values, and Play the Long Game with integrity.
- Client Centricity & Integrity: We let Our Clients Run the Company, Surf Like Yvon Chouinard to stay true to our values, and Play the Long Game with integrity.
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