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The Data Science Team within Asset Management Technology, Quant Research and Development, is seeking a highly motivated and technically proficient data scientist who is passionate about applying advanced technologies in investment management domain.
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc. Master Data Management: Informatica MDM. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL.
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As a key member of the Sail Data Science Team, the Data Scientist (I/II) will work as part of a cross-disciplinary team of experimental, computational, and machine learning scientists and engineers to drive the development and extension of Sail's AI-driven programmable medicine platform, thereby pushing a new class of RNmedicines towards the clinic.
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PhD in applied mathematics, computer science, physics, computational biology or other quantitative disciplines. Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem.
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Job Description Summary: The Machine Learning Engineer (PMTS) designs and implements machine learning (ML), artificial intelligence (AI), and data science tools to projects spanning various domains.
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Master's degree in a related field (e.g., Higher Education Administration, Educational Research, Data Science); The Assistant Vice President for Institutional Effectiveness will translate complex data into actionable insights, thereby empowering various departments, including academic affairs, student affairs, student services, finance, and facilities, to make data-driven decisions.
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BS/BA degree in clinical pharmacology, pharmacokinetics, pharmacometrics, mathematics, engineering, computational biology or a related field required plus at least 14 years of relevant experience.
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MSc in Statistics, Biostatistics or in quantitative discipline such as Physics, Applied Mathematics, Bioengineering, Electrical Engineering coupled with high level of statistical expertise.
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Solid knowledge of earth science and property insurance to perform complex financial, actuarial or business analysis. Develops and improves the framework of using catastrophe risk management software for data input, model set-up, model execution, result extraction and loss analytics.
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You will develop key technologies in the Electro-Optics/Infra-Red (EO/IR) domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions.
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PhD in applied mathematics, computer science, physics or other quantitative disciplines with a strong focus on machine learning and deep learning. To fully unlock programmability of RNA medicines, Sail is building a general purpose artificial intelligence (AI) platform to engineer translatable eRNA payloads as well as deployment nanoparticles to shuttle payloads to specific cells of interest.
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Students have the opportunity to take classes across the following areas: Applied Mathematics, Computer Networking, Computer Science, Cybersecurity, Data Science, and Information Technology.
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We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas.
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Data Transformation and Integration: Oversee custom data transformations, streaming data pipelines, and integration with various data sources including Epic Clarity, Infor, Strata, and genomic data registries.
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Post Secondary Education in Computer Science or Technical field; equivalent trainings/certifications/experience equivalency will be considered. Skills: Programming, Testing, Analytical Thinking, Agile Development, Problem Solving, Cybersecurity Risk Management, Data Privacy, Application Security, Technical Troubleshooting.
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data science applied mathematics artificial intelligence jobs Title: engineer Company: Boeing Company in Boston, MA
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