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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at Company is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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We are hiring a Machine Learning Engineer/Data Scientist in either Bellevue, WA, Boston, MA or remote. An advanced degree (Undergrad, M.S. or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or 10 + years of proven experience crafting optimization and machine learning solutions for large scale applications.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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As a Staff Machine Learning Scientist , you will be contributing to dynamic short to medium term projects that derisk novel capabilities with potential to reshape Recursion’s roadmap.
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Ensure effective designs and quality deliverables in the ML space by designing and developing machine learning and deep learning systems, running machine learning tests and experiments, implementing appropriate ML algorithms.
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Designing and developing machine learning and deep learning solutions and systems. + Strong understanding of machine learning principles, including supervised and unsupervised learning, deep learning, and reinforcement learning.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Experience with Machine Learning and related technologies such as Python, other relevant libraries and frameworks like PyTorch and tools like Jupiter Notebooks, git. + Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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Proven Machine Learning experience and involvement in data science projects and product delivery. approach to use and running / training machine learning tests and experiments.
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Proactively develops, maintains and evangelizes technical knowledge in Machine Learning and adjacent technologies. Evangelize the purpose and value of Machine Learning solutions.
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Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy. The Data Scientist is a key role in the transformation of business.
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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Experience in Natural language processing (NLP), Prompt engineering, Embedding, Vector DB.
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Encourages informed risk-taking and acts as a catalyst for innovation at Fuse; generates practical, sustainable and creative options to solve problems and create business opportunities, while maximizing existing resources.
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