Data Scientist
Core
Design, build, and deploy scalable data and machine learning solutions for infrastructure clients, transforming prototypes into production-ready systems.
Role type
Senior IC data scientist (data engineering & MLOps)
Builds
Production data pipelines, cloud data architectures, and operationalized ML models for infrastructure clients
Domain
Infrastructure (utilities, transport, energy, environment) + Cloud Data Engineering
Deliverable
production ML models
Required skills
Python (software engineering), SQL, Cloud platforms (Snowflake, Databricks, Azure), Data orchestration (dbt, Airflow), Statistics, Machine Learning, Data governance
Preferred skills
MLOps (MLflow), Docker, Infrastructure as Code (Terraform), IoT/Time-series data, Geospatial analytics, Power BI
Technologies
Snowflake, Databricks, Azure, dbt, Airflow, Azure Data Factory, MLflow, Terraform, GeoPandas, Power BI
Responsibilities
Design ingestion pipelines from SCADA and geospatial sources; Develop layered data architectures; Build and deploy statistical/ML models; Establish CI/CD and automation; Assess client data maturity; Deliver end-to-end projects; Support business development proposals
Seniority
Senior, hands-on IC
