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Senior role managing and analyzing geospatial intelligence data for the NGA, using Python, ArcGIS, and big-data tools to build automated workflows and deliver insights for intelligence products.
Data scientist builds automated workflows and models to analyze geospatial intelligence data for U.S. defense and intelligence missions using Python, SQL, and GIS tools.
Build and maintain AI-driven trading models and data pipelines for a quantitative hedge fund, translating research into production systems.
Lead a team building high-performance analytics systems for equities trading using KDB+/Q and Python, processing real-time market data at scale.
Обязанности: Команда ценообразования продуктов привлечения срочных средств юридических лиц занимается эффективным прайсингом. Мы оптимизируем привлечение денег в банк на основе алгоритмов машинного обучения. Среди…
Develop and maintain MATLAB/Python-based analysis tools for aerospace test data, integrating mathematical models for avionics, performance, and flight systems.
Build and maintain ML pipelines that detect anomalies in healthcare claims and pharmacies using Python, FastAPI, and unsupervised models (KMeans/DBSCAN) with Oracle data pipelines.
Senior analyst builds sales and delivery dashboards in SQL and Looker, tracks pipeline metrics, and forecasts revenue to help Wise Platform’s North America team grow B2B payments partnerships.
Designs and maintains Python-based analytics tools to measure trading performance and identify alpha opportunities for a proprietary trading firm in London.
Develop and maintain data-analysis tools in Python/MATLAB for aerospace test engineers, integrating mathematical models into software used across aircraft programs like A330 MRTT and Eurofighter.
Build AI-driven simulation models to predict physical-system behavior for engineering and manufacturing, using deep learning and probabilistic methods in Python.
Команда центра аэрологистики, которая входит в состав департамента автономных решений, занимается научными исследованиями в области построения логистических маршрутов с применением отечественных моделей беспилотников и…
Build predictive and diagnostic risk models for credit, financial, and operational domains using Python/R and statistical/ML techniques to guide business decisions.
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy ML models to deliver strategic insights for Wolters Kluwer’s finance and sales teams.
Builds and deploys ML models and big-data pipelines to extract insights from customer and transaction data, enabling smarter decisions and improved experiences for a major bank.
Builds and refines statistical and time-series models to forecast U.S. passport demand for a federal agency, using Python, econometrics, and AWS serverless tools.
About the Role Join the Vegetation Modeling team at a mission-driven climate-tech company that uses AI and advanced satellite imagery to help utilities prevent wildfires and power outages by identifying vegetation…
Lead data-pipeline and forecasting-model development to optimize clinical-trial operations using real-world health data, machine learning, and operations research.
Lead a team of data scientists to build predictive models and analytics for Caterpillar’s heavy equipment business, using machine learning and time-series forecasting to drive demand planning and aftermarket solutions.
Build and own ML models that enrich and categorize millions of retail transactions, detect anomalies, and assess risk for Saudi Arabia’s first Open Banking platform.
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