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Designs and maintains Optiver’s global observability platform, building scalable telemetry pipelines, dashboards, and alerting systems to improve production debugging and reliability for trading teams.
Build and maintain Optiver’s global observability platform, designing telemetry pipelines, metrics, logs, and alerts to ensure reliable, scalable production systems for traders and engineers.
Designs and maintains data infrastructure for R&D hardware systems, integrating experimental, manufacturing, and QC data with analysis and visualization tools using SQL, Python, and DAQ platforms.
Designs and builds complex credit-risk models using Python, SAS, and SQL to analyze large datasets and guide business decisions in a hybrid role at M&T Bank.
Who We Are At Soma Energy, we're transforming the power grid with cutting-edge AI, making energy systems smarter, cleaner, and more resilient. Our energy intelligence platform integrates renewables, batteries, and…
Senior QA engineer builds and runs automated tests for a global bank’s FX trading platform, using Java/Serenity BDD and AI tools to validate low-latency systems and ensure regulatory compliance.
Builds and maintains software for real-time telemetry, analytics, and visualization in motorsport and electric vehicle fleets using C# .NET, WPF, and SQL.
Maintain and optimize core ML systems for a large FTSE 100 company, debugging data flows and forecasting models using Python, GCP, and Vertex AI.
Build and deploy ML models to optimize healthcare copay programs and extract insights from pharmaceutical data using Python, R, and MLOps tools.
As a Senior Associate Data Scientist at Capital One, you’ll work on operational risk management, using Python, AWS, Spark, and machine learning to analyze large datasets, build predictive models, and deliver insights to senior executives to improve risk management and operational efficiency.
Leads AI/ML projects end-to-end, from problem definition to deployment, using Python, TensorFlow, and PyTorch to build models for forecasting, optimization, and anomaly detection, then collaborates with engineers and business teams to drive data-driven business decisions.
Data steward defining and enforcing data standards, quality rules, and governance policies for life-sciences systems in Hyderabad, using Python, SQL, and visualization tools.
Build and deploy ML models for business decisions and optimize AI agentic systems like conversational tools, using Python, SQL, and libraries such as PyTorch.
Build and deploy production-grade ML systems for pharma manufacturing, quality, and supply chain at Roche, using Python, MLOps, and AWS.
Develop and drive forward Mastercard's data-driven open banking solutions by applying data science techniques to large datasets, focusing on affordability/credit decisioning and identity verification, and working with data engineers to build interactive dashboards.
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
Lead the design and deployment of advanced AI/ML models and statistical solutions for government missions, working on-site to extract insights from complex datasets using Python, R, and SQL.
Job Description: Employer: DWS Group Title: Operations Specialist- Data Quality Management -AVP Location: Madrid Job Code: placeholder for LinkedIn job wrapping About DWS: Today, markets face a whole new set of…
Designs and optimizes scalable database architectures (PostgreSQL, NoSQL, graph/time-series) to support data science and ML workflows, ensuring high performance, security, and integration with research pipelines.
Architect and build the real-time control-plane software that manages a global satellite network, ensuring high availability and low-latency connectivity for enterprise customers using distributed systems and cloud-native tools.
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