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Design and build scalable data platforms and pipelines for analytics, AI, and ML at a major investment firm, using Python, SQL, and cloud tech like AWS/Azure.
Build and deploy ML models, optimization algorithms, and dashboards to analyze customer behavior and improve financial products using Python, R, SQL, Spark, TensorFlow, and Tableau.
Builds and deploys ML models and LLMs to analyze banking data, detect fraud, segment customers, and support risk decisions using Python, SQL, and cloud platforms.
Leads end-to-end Quantexa implementations for financial crime use cases, designing scalable entity-resolution architectures and mentoring teams on Spark/Scala pipelines.
Build and maintain large-scale data pipelines and analytics platforms using Hadoop, Spark, and related big-data tools to process and analyze massive datasets for enterprise clients.
Senior Data Scientist builds optimization and predictive models to power Nike’s global supply chain, focusing on sourcing, manufacturing, and supply planning using Python, SQL, and cloud platforms.
Lead a team building AI/ML models for pattern recognition, anomaly detection, and predictive analytics to support military decision-making and survivability in surveillance environments.
Build AI-driven models for national security, analyzing geospatial and operational data to detect threats and support military decision-making using Python, SQL, and deep learning.
Build and deploy AI/ML models, LLM-powered apps, and agentic systems to solve industrial and sustainability challenges using Python, Spark, and cloud platforms.
Design and maintain ETL/ELT pipelines, cloud data warehouses, and BI dashboards using SQL, Python, and tools like Snowflake and Tableau.
Build and maintain PySpark/Hadoop pipelines to process marketing data, support A/B testing and MMM, and enable CRM/CDP analytics for Visa’s global campaigns.
Lead a team of data engineers to build and scale the revenue data mart for RingCentral, integrating Hadoop, Snowflake, and AWS pipelines to power finance, sales, and executive reporting.
Senior data engineer building AI/ML pipelines and analytics systems to extract insights from structured and unstructured data for government clients.
Leads enterprise data, analytics, and AI solutions for a bank, designing scalable platforms (Databricks, Snowflake, etc.) and driving compliance, risk management, and customer insights via Python, ML, and NLP.
Designs and leads enterprise-scale data/analytics platforms for a bank, integrating AI/ML, cloud-native tools, and regulatory-compliant architectures to enable real-time insights and predictive modeling (e.g., fraud detection, credit scoring).
Lead a team building a global marketing platform that targets audiences, executes campaigns, and measures results using Java, Spring Boot, React, GraphQL, AWS, and AI-driven tools.
Build and maintain AI/ML systems that detect fraud and cyber threats in real time for Mastercard’s global payments network, using Python, PySpark, and MLOps tools.
Обязанности: Центр компетенций бизнес-анализа и финансового планирования ищет специалиста по анализу данных. Тебе предстоит решать сложные, но интересные исследовательские задачи с целью поиска точек роста бизнеса…
Unsere Business Line «Data, Analytics & AI» ist verantwortlich für die Bereitstellung und Nutzung von Technologieplattformen, welche die Wertschöpfung unserer Kunden fördern. Die zahlreichen exklusiven Projekte…
Build and scale data pipelines, ML infrastructure, and distributed services to power ZipRecruiter’s job-matching platform using Python, Spark, Kafka, and Kubernetes.
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