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Experience in Bigdata data pipeline testing with Hadoop/Spark framework in AWS cloud infrastructure Knowledge of applying the Spark DataFrame API concepts using PySpark to complete data manipulation task's Very good understanding of business intelligence concepts, architecture & building blocks in areas ETL processing, Datawarehouse, dashboards and analytics.
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Experience with machine learning and natural language processing techniques. + Help develop and apply computational psychometric methods for high-quality language assessments, such as adaptive assignment algorithms, psychometric models for complex tasks, and explanatory item response theory models.
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Our core offerings Bidder-as-a-Service (BaaS) and the Beeswax DSP provide clients with agility, custom optimizations, and extensible APIs. We are looking for a Machine Learning Engineering with an in-depth working knowledge of the latest in Machine Learning/Data Science technologies and cloud platforms to join our Optimization team, which have three defining pillars: machine learning, software engineering, and machine learning operations (MLOps.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data science with a strong focus on machine learning and deep learning in a commercial setting; startup experience, a plus. The role involves being a player/coach for a growing data science team, enhancing product development with machine learning and advanced statistical analysis.
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The Healthy Lifestyle Instructor s role is to implement social-emotional learning and prevention programming, to include an intensive, evidence-based teen education program that promotes positive youth development through a social-emotional curriculum, community service learning and supportive relationships with adults, with the overall goal of healthy decision making.
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Branding, Change Management, Creative Process, Design Thinking, Influencing Others, Innovation, Machine Learning, Strategic Planning, Taking Initiative. Building custom AI solutions is a plus: Python, R, use of data science tools (DataRobot, Cloudera Data Science Workbench, Anaconda, Jupyter Notebook, etc.
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Other attractions include the Carnegie Museums of Art and Natural History, Andy Warhol Museum, and Carnegie Science Center. A beautiful downtown Cultural District is home to the Pittsburgh Symphony Orchestra, Pittsburgh Ballet Theater, and Civic Light Opera and numerous theaters and galleries.
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Responsible for operating single needle sewing machine or serging machine to sew all ATC pillows. Responsible for removing filled pillow shells from conveyor belt, sewing, and replacing completed pillow back on conveyor belt for further processing.
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Our organization is responsible for all downstream tasks of the vehicle sensor suite onboard, as well as the full offboard/cloud infrastructure for machine learning at Latitude. When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people.
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Experience with gamma-ray spectroscopy data processing software and data analysis. - Support deployed radiochemistry analysis systems by designing tests, qualifying next-generation hardware, writing and maintaining procedures, training operators, responding to emergent fleet requests for technical assistance, and evaluating system data.
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Experience working on ETL pipelines and leveraging big data engines. Collaborate with a team of world-class Data Scientist and Analysts on Data Science problems spanning multiple subsystems (eg.
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A record of using scientific computing tools (MATLAB, Python) to analyze mechanical test data (vibration, thermal, acoustic). Knowledge of manufacturing methods including: machining, welding, injection molding, sheet metal fabrication, and 3D Printing.
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Key Words: #Survey Technician, #Survey Data Technician, #Survey Drafter, #Surveyors Assistant, #Project Surveyor, #Associate Surveyor, #Surveyor in Training, #SIT, #LSIT, #SI Position Summary / Job Duties: Individual must be able to perform the following duties.
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Manages analysis of application data requirements for new and enhanced data processing applications and the development of conceptual and logical models of the data as a prerequisite for physical database design.
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machine learning natural language processing big data jobs Title: senior data scientist Company: Cardinal Health in Pittsburgh, PA
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