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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Strong knowledge of data architecture, data warehousing, business intelligence, data integration, data analysis, reporting, and/or machine learning. This position is remote but may require travel to corporate as neededBS in Computer Science, Applied Data Science Analytics, Business Administration, or equivalent with 5-7 years of experience.
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You’ll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Experience with data science, machine learning, and/or artificial intelligence. Leidos Intelligence Group uses a wide range of capabilities in Digital Modernization, Mission Software Systems, and enabling technologies like Artificial Intelligence and Machine Learning to support our customers' mission to defend against evolving threats around the world.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Business solutions leveraging Machine Learning, Robotic Process Automation, Artificial Intelligence, Electronic Content Management, Document Management Systems, Workflow, Business Process Management and/or Information Governance.
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As a data scientist, you re excited at the prospect of unlocking the secrets held by a data set, and you re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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At least 5 years of post graduate professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization.
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GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Database design/operations/maintenance, reverse engineering, data normalization and cleansing, scripting, data analysis and visualization, data security.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of related work experience in the field of Data Science & Machine learning. You will play a pivotal role in the growth of our data science team and will be an instrumental resource as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of statistics/data science, including regression, hierarchical or mixed regression, and machine learning techniques (Naïve Bayes, Markov Chain, Random Forest etc.) Data visualization experience with tools like Tableau or Power BI a plus.
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Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. SAS, SPSS, and Oracle); builds analytical solutions using programming languages (e.g. R, Python, SAS), and programming libraries (e.g. Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib.
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Integrate Databricks with other data tools and platforms, such as data warehouses, business intelligence tools, and machine learning frameworks. Master's degree preferred with emphasis on data science, data analytics engineering, and machine learning/AI.
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Strong Technical Skills: Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools.
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Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning. A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
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Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Azure and Databricks Expertise: Utilize Azure for storage and Databricks for compute, ensuring efficient and scalable data processing and model training.
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machine learning data jobs in Columbia, MS, Pennsylvania
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