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The Commodity Trading Service Line at McKinsey supports clients in commodity trading and risk strategy, trading operations transformation, and trading and risk digitization driven by deep trading experts with hands-on trading experience and advanced analytics assets.
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Hands-on experience working with technologies and languages like Java, Typescript, Angular, SQL, and AWS. Bachelor’s Degree (and/or Post Graduate Degree) in computer science, software engineering or related experience.
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A minimum of three to four years of hands-on experience or equivalent with inferential statistics, A/B testing, machine learning, predictive modeling and statistical analysis techniques in a healthcare or similar environment.
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Hands-on experience with cloud platforms, such as AWS, Azure and GCP. We focus on an "AI First" mindset and are helping clients tackle unique and challenging problems with a full suite of AI tools (Generative AI, "traditional" AI, machine learning, and data science.
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Entails hands on technical product design and deployment specifically for building and managing SIEM platforms like Splunk Enterprise, Splunk User Behavior Analytics, Splunk Phantom, Splunk Enterprise Security and ArcSight.
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Hands-on experience in analytics components of one or more marketing or media platforms such as Adobe Analytics, Google Analytics. Razorfish is looking for a Senior Analyst to join its Data Science and Analytics Discipline.
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Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.
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