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Design, develop and implement various process improvement tools and techniques including Workflow, Robotic Process Automation (RPA), Optical Character Recognition (OCR), Natural Language Processing and (NLP), Machine Learning (ML) to meet end-to-end business requirements.
RemoteExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Apply machine learning techniques, such as regression, clustering, classification, and natural language processing, to extract insights from large and diverse datasets.
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
$44.42 - $71.05 an hourFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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As a Data Scientist , you will be at the forefront of designing, implementing, and maintaining data pipelines by interpreting and analyzing complex data sets, planning and executing machine learning (ML) projects, and leveraging methodologies such as data mining, natural language programming, and machine learning.
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Experience with: R, Python, SQL, Machine Learning, Natural Language Processing and GitHub. Experience with: Data Visualization Tools –Tableau and Power BI.
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Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. Unstructured text and natural language processing.
$76,224.72 - $113,633.52 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Employ frameworks like Spark and Hadoop for in-depth data processing, creating visualizations using Tableau, Microsoft Power BI, and R Shiny. Extensive proficiency in data engineering, processing, and modeling techniques using platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
$125,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3. Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
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Experience with natural language processing, deep learning, or computer vision is a plus. Experience with data visualization tools such as Tableau, Power BI, or Qlikview.
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Proactive and thorough in learning stakeholders’ capabilities around data management and data processes. Welcome to The Food Bank of Northern Nevada, where we believe in the transformative power of compassion and the impact it can have on our community.
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In addition, the Data Scientist shall understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.
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Knowledge of machine learning algorithms, statistical techniques, natural language processing systems and computer vision applications. Understanding of machine learning algorithms, natural language processing, and computer vision.
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Working knowledge of advanced techniques such as: SMOTE, dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
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Extensive knowledge of data analytics, data-science, natural language processing, machine learning, text mining, and LLMs. Extensive experience with Business Intelligence platforms and Data Warehouses such as Power BI, Tableau, Cognos BI, Snowflake, Big Query, Red Shift etc.
Full-timeExpandApply NowActive JobUpdated 11 days ago
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