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Leads process data analytics for Obsidian's cell therapy manufacturing, building statistical models (SPC), data infrastructure, and dashboards to monitor and support late-stage development of its autologous cell therapy program. Core tools: Python, SQL, SAS, JMP, Minitab, SIMCA, Tableau/Power BI, and AI/ML frameworks.
Senior Data Scientist builds ML-driven demand forecasting, pricing, and supply-chain optimization models to ensure the right licensed sports merchandise is available to fans at the right time and place.
Обязанности: • заниматься построением моделей прогнозирования показателей клиентов, чувствительности, склонности к продуктам банка, прогнозирования различных характеристик клиентов • разрабатывать пайплайны для…
Wholesale is a $50 trillion market still working the way it did in 1950. 90% of transactions happen offline, over calls, catalogues and trade shows, and a product passes through four or five layers of distributors and…
Мы создаем основу для безопасного и эффективного использования ИИ в Банке. Наша команда разрабатывает мультиагентную систему для автономного мониторинга всех ИИ-агентов Банка в промышленной эксплуатации. Это не просто…
Salary: Rp 7.000.000 – Rp 9.500.000 per month About the role We are seeking an experienced Lead Python Developer to join our talented team at PT. Kredit Utama Fintech Indonesia. As a key member of our Technology…
NCS is a leading AI Tech Services company. With a 15,000-strong team across the Asia Pacific, NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of…
Key Responsibilities Generative AI & Agentic AI • Design and develop AI agents using modern agent frameworks. • Build and optimize RAG (Retrieval-Augmented Generation) solutions. • Develop agent orchestration…
Aspire Software is looking for an AI/ML Engineer to join our team in Lebanon. Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical…
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology…
JOB DESCRIPTION Data Scientist The Big Picture Sysco LABS is the Global In-House Center of Sysco Corporation (NYSE: SYY), the world’s largest foodservice company. Sysco ranks 56th in the Fortune 500 list and is the…
Staff ML Engineer on Stripe's Financial Connections team, designing, training, and deploying production ML models for transaction categorization, risk scoring, and data enrichment at scale using PyTorch, TensorFlow, and XGBoost.
Machine learning engineer on Stripe's Link Fraud and Auth team, building and owning fraud-detection models and real-time risk decisioning systems for the Link digital wallet and Instant Bank Payments. Day-to-day spans the full ML lifecycle — analyzing fraud patterns, training tree-based models, and running production pipelines — using Python, SQL, Spark, and XGBoost.
Stripe is hiring a Machine Learning Engineer for its Growth Platform team in San Francisco to build and operate production ML systems that recommend Stripe products to businesses — spanning recommendation/ranking models, contextual bandits, and agent-based recommendations. Core stack includes Python, ML frameworks like PyTorch, SQL/Spark data pipelines, and online experimentation.
Staff ML engineer on Stripe's Radar team, owning the full lifecycle of the real-time deep learning fraud-detection models that protect Stripe's payments network. Day to day: research fraud patterns, train/deploy large-scale models with PyTorch, TensorFlow, XGBoost and Spark, ship 0-to-1 Radar products, and mentor engineers.
Location: Rīga,Rīga,Latvia Join Wandoo Finance as a Data Scientist and help challenge the status quo of the financial industry We are a fast growing global fintech powerhouse – with HQ in Latvia and operations across…
A 6-month paid Data Science internship at Betclic (starting February 2027) based in Bordeaux, working within a squad of 9 Data Scientists on recommendation systems for the Casino app, horse racing forecasting, and fraud/document-validation use cases using Python and SQL.
Build and deploy real-time fraud detection models using Java/Scala and Python, processing over 1 trillion events with distributed systems like Spark and Flink on GCP.
BNP Paribas Cardif – the insurance company for a changing world. By understanding our partners' core business and needs, we offer tailor-made insurance solutions and create value for our partners - always with the…
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