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Experience using data visualization tools such as Tableau, Qlik, or Power BI. Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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The Molecular Genetics department at the Allen Institute for Brain Science, MolGen led by Bosiljka Tasic, defines cell types in the mouse brain with single-cell genomics techniques and generates high-precision genetic tools to effectively identify, monitor, and manipulate distinct cell types within the mouse brain.
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Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem. Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer.
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An undergraduate degree in computer science, engineering, data science, finance, economics or related disciplines is a plus, MBA preferred. ● Implement and maintain the roadmap by working cross-functionally with members of the product team, engineering team, data science & analytics team, business team, finance team, legal team, operations team, marketing team, and more.
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1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred. Develop and maintain ETL routines using ETL and orchestration tools such as Airflow. The Data Engineer II will contribute to the Company's success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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The major areas of research currently include theoretical and experimental optical, electronic, and magnetic materials, polymers, ceramics, composites, nanomaterials, energy materials, quantum materials and devices, biomaterials, medical devices, additive manufacturing, data science of materials, and computational materials science.
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You will have experience creating Smartsheet Control Center solutions, workspaces, power apps, sheets, report, workflows, dahsboards and experience using BI tools (such as QucikSight, Tableau, etc.
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Comfortable handling, implementing, and using audit and compliance management tools (Alation, BigID, Immuta and Anomalo) in industry forward data warehouses (Snowflake, Databricks.
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In order to be considered for this role, you must have at least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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Here, you'll get the unique chance to impact some of the world's most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. More than a driving force in outdoor power equipment.
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Operation of equipment/tools/vehicles: Uses (1-1/2 to 3 ton capacity) pipe threading machines, pipe bender, Oakey bevelers, positioners, grinders, drill motors/presses, portaband, sawsall, tape measure, cutting torch, overhead crane, lift truck, hand power tools including chainfall, portapower, compressed gas tank and wire feeders.
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15+ years of professional experience in concept development and design of stream and river restoration and floodplain management projects. Master's degree in civil engineering or environmental science with an emphasis on aquatic ecosystems restoration, hydraulics, and/or geomorphology.
$141,661 - $185,333 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Proficiency using Altium/Cadence OrCAD / Allegro (or similar tools) to design complex aerospace boards; and experience working with external board manufacturing and assembly vendors. Direct hands-on experience with analog, digital and mixed-signal circuit analysis, simulation, design, test, debug, signal integrity, power, grounding and general board layout principles.
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power tools bi data science management jobs in Seattle, St-matthews, South Carolina
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