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Analyzes retail data to build ML models and dashboards that guide pricing, inventory and marketing decisions using Python, SQL and tools like TensorFlow and Tableau.
Analyze customer-interaction data to drive AI model improvements, prompt engineering, and automation pipelines for an AI-native SaaS platform.
Senior Data Scientist at NGA supporting geospatial-intelligence operations, building AI/ML models and automated workflows with Python, ArcGIS, and big-data tools to analyze and visualize intelligence datasets.
Senior data scientist builds automated workflows and models to analyze large geospatial intelligence datasets for U.S. defense and intelligence missions using Python, SQL, and GIS tools.
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 data pipelines, ETL processes, and dashboards for Amgen’s supply-chain analytics using Python, Spark, SQL, and Tableau.
Design and build cloud-based data pipelines and ETL workflows using Spark, Kafka, and cloud platforms to support analytics and reporting for a financial-services company.
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 data-driven insights to guide product decisions and AI coaching features for enterprise clients using SQL, Python, and BI tools.
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.
Build and deploy ML models (XGBoost, RAG, agent workflows) to drive business decisions in consumer banking, partnering with developers to integrate solutions.
Build and analyze data systems that guide AI-powered coaching for enterprise leaders, using SQL, Python, and BI tools to uncover user behavior and commercial opportunities.
Develops and manages data pipelines for AI-driven medical imaging, ensuring high-quality datasets for training/evaluating algorithms that detect diseases in X-rays/CT scans. Core tech: Python (pandas/numpy), SQL, analytics engineering tools (DBT, Airflow).
Analyzes user data to improve a bank’s product recommendation engine, running A/B tests and exploring new data sources to boost engagement.
Senior Python engineer building power-system simulation and data-processing tools for New York’s electricity grid, using AI-augmented development practices and mentoring teams.
Build and scale LLM-powered AI agents and RAG systems for a digital bank, focusing on secure, observable microservices and production-grade AI workflows.
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.
Data Analyst builds and improves Sber’s product recommendation engine by analyzing large datasets, testing hypotheses, and refining data quality to personalize customer offers.
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