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Senior Data Scientist Lead Analytics & Production ML
Lead analytics and production ML projects in Doha, setting modeling standards and mentoring junior team members while translating business questions into decision-ready insights using Python, SQL, and ML methods.
Data Engineer (OT Data)
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Senior Data Scientist
Lead advanced analytics and statistical modeling projects for a government entity in Qatar, designing experiments, building predictive models in Python/SQL, and mentoring junior data scientists.
Lead Data Engineer - OT Data & Real-Time Analytics
Architect and build scalable data pipelines for real-time OT data ingestion, time-series modeling, and secure data products in the oil & gas sector.
Senior Applied Data Scientist - Data Architecture & Feature Engineering
Senior Applied Data Scientist designs scalable data infrastructure and feature pipelines for AI models in Keysight’s test, measurement, and design workflows, using Python, SQL, Spark, and Snowflake.
Senior Data Platform Engineer - Real-Time Market Data
Build streaming and batch data pipelines, govern schemas, and create self-serve tools for trading, wealth, and product teams using a lakehouse and time-series architecture.
Senior Data Engineer
Senior Data Engineer builds and maintains AWS-based pipelines for vehicle telemetry data, ensuring quality and scalability to power fleet analytics and ML models.
Senior Data Engineer
Build and optimize data pipelines for a fleet-management platform, processing vehicle telemetry with AWS and Databricks to power analytics and ML models.
Data Engineer
Designs and maintains cloud data pipelines and analytics platforms for food/beverage plants using Azure, Databricks, and time-series databases to enable AI-driven insights and operational reporting.
Data Engineer
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants using Azure, Databricks, and time-series databases to enable AI-driven predictive maintenance and operational reporting.
Data Engineer
Designs and maintains cloud data pipelines and analytics platforms for food and beverage processing plants using Azure, Databricks, and InfluxDB to enable AI-driven predictive maintenance and operational reporting.
Methods & Tools Software Developer
Develop and maintain MATLAB/Python-based analysis tools for aerospace test data, integrating mathematical models for avionics, performance, and systems testing across Airbus programs.
Methods & Tools Software Developer
Develop and maintain aerospace test-analysis software in MATLAB/Python, migrating legacy tools to a new Time Series Analysis Platform while collaborating with engineering teams.
Senior Python Developer
Build enterprise-grade Python applications that power AI-driven finance tools, collaborating with data scientists to deploy ML models and cloud-native services.
Full-Stack & Architecture Engineer for Real-Time Monitoring
Builds full-stack and architecture for real-time monitoring systems, integrating frontend, backend, and time-series databases while collaborating with signal processing and hardware teams.
Data Scientist/ML Engineer im Team Economic Data Science
Build and maintain ML/NLP pipelines and big-data systems to support economic forecasting and policy analysis for Switzerland’s central bank.
Senior Data Engineer
Build and own streaming/batch data pipelines, lakehouse and time-series layers, and self-serve tooling for a crypto market maker’s trading, portfolio, and analytics needs using Python, SQL, Kafka, ClickHouse, and Terraform.
Senior Python Engineer, Geospatial Data Platform (Fully Remote)
Build and operate geospatial analytics backend services in Python, integrating Neo4j and Databricks to process maritime data and deliver production-grade APIs and microservices.
Data and MLOps Engineer
Build and maintain scalable data pipelines and MLOps infrastructure for industrial AI solutions in mining, energy, and infrastructure sectors, deploying models in cloud/edge environments.