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Lead AI-driven supply chain and store execution systems, building forecasting, inventory optimization, and agentic AI models to minimize waste and out-of-stocks in a large retail ecosystem.
Lead AI and data-science strategy for a grocery retailer’s supply-chain and store-execution platforms, building forecasting, optimization, and agentic-AI systems to cut waste and out-of-stocks.
Build and deploy ML models and Generative AI solutions to solve business problems, using Python, PyTorch, and cloud tools in a product-focused team.
Leads a local AI/data-science team to build and deploy ML models and heuristics for supply-chain optimization, guiding projects from data analysis to production deployment.
Leads AI/ML architecture and team for Albertsons’ supply chain and store execution, designing forecasting, replenishment, and agentic AI systems to optimize retail operations at scale.
Build and deploy ML/AI models (traditional and generative) in Python/R/SQL, lead end-to-end projects, and mentor teams to drive business outcomes.
Lead the fine-tuning and optimization of AI models to improve performance and production readiness for a growing software company’s core product suite.
Lead the product analytics function at a fast-growing cybersecurity SaaS company, building KPIs, metrics, and AI-ready data models to guide feature investment, adoption, and retention across UpGuard’s risk-management platform.
Build and deploy ML models, knowledge graphs, and GenAI tools to detect fraud and financial crime using Python and cloud platforms.
Lead the development of ML algorithms that turn optical interference signals into clinically meaningful brain-monitoring metrics, setting technical standards and guiding the data-science team at a medtech startup.
Build and deploy ML models, data pipelines, and dashboards to drive R&D insights using Python, SQL, and cloud tools like AWS/Azure.
Career Opportunities with Castalia Systems A great place to work. Careers At Castalia Systems Current job opportunities are posted here as they become available. Senior Data Scientist Location:Arlington, VA START YOUR…
Principal Data Scientist to lead Python-centric data engineering and GenAI projects, designing scalable pipelines and ML models for DTCC’s financial markets infrastructure.
Principal Data Scientist at DTCC designs and deploys production-grade AI/GenAI and ML solutions in Python and Snowflake, leading data pipelines and model development for financial markets.
Build and maintain data models and AI-driven analytics for mortgage lending, using cloud platforms and MLOps to deliver predictive insights and generative-AI solutions.
Designs and validates machine learning models for laboratory data analysis, focusing on chromatography, mass spectrometry, and scientific workflows.
Leads a team of data scientists to analyze large datasets, build predictive models, and automate processes using Python, SQL, and statistical tools to drive business decisions in semiconductor manufacturing.
Build and automate analytics dashboards in Power BI and SQL to track KPIs, risks, and opportunities for Telstra’s operations and infrastructure, using Python, Fabric, and AI models.
Build and test sanctions-screening models for a global bank, analyse precision/recall metrics, and document findings to prevent financial crime.
Builds ML models to predict and reduce customer churn for Warner Bros. Discovery’s streaming services using Python, SQL, and PySpark.
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