…Science, Data Analytics, Economics, Statistics, Engineering, or a related field. Working knowledge of AI and machine learning methodologies, including supervised learning, unsupervised learning, predictive…

…Spearhead the development and execution of the Identity Operations roadmap for CommOps globally, aligning with cross-functional stakeholders including Safety Operations, Product, Engineering, and…

…structures and algorithms development and functionality; Debugging and monitoring for production services; Distributed systems; Database Compiler Optimization; Big Data Analytics; and Machine Learning Engineering.

…This role will partner deeply with Product, Engineering, Data Science, Analytics, and regional Operations teams to intake product needs, translate them into clear problem…

…Cloud Services, Engineering, and Product insights for monthly business reviews, executive reviews, and board materials - Translate complex technical and operational data into clear financial…

…6+ years of experience in data science, machine learning, or advanced analytics, with a track record of owning high-impact business problems end to…

…SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Azure Stream Analytics, Azure Data Factory / Data Bricks, Cosmos DB Azure PaaS Services: Redis Cache…

…Collaborate seamlessly with software engineers, data engineers, and data scientists to decipher complex logic, evaluate model implementations, test data pipelines, and support the remediation…

…We are hiring for multiple Software Engineers II and a Senior Software Engineer for these exciting opportunities in MSD! These roles will design, build…

…This isn't a pure admin seat and it isn't an engineering seat—it's for an operator who's comfortable getting under…

…roadmap priorities clearly to senior leadership and cross-functional partners 8+ years of experience in data engineering, analytics engineering, or business intelligence, with at…

…Experience with AI, data science and machine learning technologies People want to buy from people who understand them. Our Solution Engineers build connections, relationships…

…Raise the technical bar by providing scientific leadership, mentoring engineers and scientists, and championing best practices in experimentation, machine learning, and responsible AI. Establish…

…Responsibilities Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations. Partner with Product, Engineering, MAI…

…Data Science skills, with knowledge of machine learning tools and techniques. - Strong programming skills. - Proactive, autonomous and able to learn fast, with strong analytical…

…Database Platforms, Performance & Capacity Engineering Hands‑on expertise across Azure SQL, SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Teradata, Netezza, Cosmos DB, and columnar analytics…

…Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and…

…Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with…

…software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - The right person will have passion for software development, application architecture and…

…transforming, and enriching product data at scale using AWS technologies including streaming and batch processing platforms. * Work with Senior Engineers to drive the technical…

…As a Senior Product Associate in the Product GPT team, you will partner closely with Product Managers, Engineers, Designers, Researchers, and Business Stakeholders to…

…Data Scientist Senior Associate in the Chief Data & Analytics Office, you will lead the development and deployment of innovative AI and machine learning solutions…

…Collaborating as a strategic partner to senior Product, Engineering, and Operations leadership, you will ensure that our long-term roadmap is rooted in rigorous…

…Background in machine learning as applied to planning and decision-making, including reinforcement learning, learned heuristics, and behavior prediction. Ability to engineer robust systems…

…sensor data. Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques. Ability to engineer robust…