Sand Tech Holdings Limited - Senior Data Scientist
Requirements
• 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; PhD preferred. • Personal Attributes • Personal Attributes • 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. • Client Centricity & Integrity: • Collaboration and Inclusion: We live by Each One, Teach Ten and ensure Everybody is Welcome. • Collaboration and Inclusion: • Operational Excellence and Simplicity: We K.I.S.S. by keeping things simple while always striving to Raise the Bar. • Operational Excellence and Simplicity: • Action, Ownership, and Execution: We Decide, Get Stuff Done, and Do Hard Things with accountability. • Action, Ownership, and Execution: • Growth, Innovation, and Resilience: We Choose Growth, Pioneer boldly, and remember There is No Failure. • Growth, Innovation, and Resilience: • Due to the considerable amount of virtual work and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethics to succeed in working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using web collaboration and video conferencing is essential.
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.
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