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Python Development: Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI. Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
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The TSL pushes the boundaries of seamless translation to provide the right data at the right time, accelerating and improving decision making, while continuously implementing a patient-centric perspective.
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The Data and Presentation Specialist role provides substantial exposure to how GMO communicates with clients and prospects about our investment strategies. The Presentation and Data Specialist is responsible for the coordination and production of product and fund materials; and,providing input and requirements on new systems or technology enhancements related to these materials.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Data Processing/Analytics/Science, Computer and Information Science, Statistics.
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ORA Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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Designing the Data Pipeline using Databricks clusters with AWS platform and services like AWS S3, RDS. Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering, ML and SQL warehouse.
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Bachelor’s degree in Computer Science, Information Systems, Business, Accounting, Finance, Data Science, Engineering, or a related field and 5 years of progressive, post-baccalaureate work experience in one or a combination of the following: IT Audit and/or Financial Services.
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Act as an Imaging and data science subject matter expert, to help commodify AI and data analytics expertise and assets into impactful analysis workflows and software products, and to help make our research data FAIR.
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A budding startup that provides AI powered mapping solutions is hiring for a full-time Computer Vision Engineer to join their growing team in Somerville, MA. This is a key hire that will utilize Python libraries such as OpenCV, PyTorch, Keras and others to build object classifiers and semantic segmentation models that will power the data science engine for their core product.
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Performs catastrophe modeling analyses using catastrophe modeling software for the assessment of data input, model set-up, model execution, result extraction and loss analytics. Assists evaluating catastrophe management software and models and exploring industry best practices and business strategies in earth science technologies partners, and to assist fellow catastrophe risk management team members to provide the catastrophe related insights and recommendation.
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The Tetra Scientific Data CloudTM is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain.
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Under direction of the Client Services Supervisor, the Data Processing Coordinator provides daily oversight of laboratory data processing services, ensuring efficient and high-quality specimen processing.
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Knowledge of basic data science methods, such as regression, classification, tree-based, and time series methods. Profound technical expertise in end-to-end analytics, including building pipelines, data modeling, generating insights, and familiarity with common data science techniques.
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The Davies Lab have used unoccupied aerial vehicles to collect a large amount of LiDAR data spanning natural and experimental gradients of climate, wildlife abundance, fire frequency, and other factors at multiple sites across Africa, which will be available for use by the postdoctoral researcher to answer questions related to animal and landscape ecology.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Knowledge of best practices in software engineering for reproducibility and data management skillsAbility to work in and adapt to a fast-paced environment Preferred Qualifications: Experience with protein co-evolution analysisExperience with NGS and bioinformatics toolsExperience with agile methodologies.
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data science jobs Title: data engineer Company: Johnson in Boston, MA
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