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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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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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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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Using Laboratory Information Management Systems (LIMS) and data analysis tools and in turn, deliver technical reports and presentations. Arzeda is seeking a Senior Scientist specializing in Analytical Development to join our dynamic team.
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Expertise with at least one data visualization tool, preference: PowerBI. Proficiency in Machine Learning, Statistical and Reporting tools (Databricks, Python, R, SQL, PowerBI). This Data Scientist will be responsible for identifying insights from data through machine learning, deep learning, and AI to augment decision making by the business by applying AI/ML/DL methods and algorithms across retail areas such as forecasting, Membership and Marketing, supply chain cost optimization, and inventory management.
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Perform statistical data analysis and present the results. We are seeking a motivated and experienced bioinformatics developer to build an AL driven platform focused on analysis of synthetic DNA and mRNA. This will require collecting and analyzing large data sets built from a variety of sources including sequencing, RNA folding and structure computation and expression profiles.
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Fluency in core set of Data Science. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.
$145,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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 six-month course provides a comprehensive understanding of a pressurized-water Naval nuclear power plant, including reactor core nuclear principles, heat transfer and fluid systems, plant chemistry and materials, mechanical and electrical systems, and radiological control.
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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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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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We are seeking a highly collaborative Principal Scientist- Data Science to join our Data Science team as a part of our new Regeneron Cell Medicine (RCM) group. Must have a strong understanding of data analytics, statistics, and machine learning concepts/tools.
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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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Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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power tools bi data scientist jobs Title: statistical analyst in Bellevue, WA
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