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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with natural language processing (NLP), computer vision, or other specialized areas of machine learning. Experience with data visualization tools such as Power BI, Tableau, or Matplotlib/seaborn.
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Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. chief technology officer, computer science, css, etl, f#, java, machine learning, operating system, security.
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Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) Proficiency in data analysis, data visualization, and data storytelling, using tools such as SQL, Python, R, Power BI, Tableau, Cognite, Palantir, Dataiku, or similar.
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Possess a solid understanding of AI technologies, including machine learning, natural language processing (NLP), and computer vision, to facilitate the development and integration of advanced internal tools that enhance analytical capabilities and operational efficiency.
$80,000 - $100,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Develop, tune, and deploy statistics & machine learning models including but not limited to classification, regression, natural language processing, forecasting, change point detection, sentiment analytics, etc.
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Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques. In this role, you'll leverage your expertise in Python, Azure DevOps, AWS, Kedro, and Power BI/Streamlit to build robust and sustainable data pipelines.
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Experience with development of machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets.
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Time series Analysis Different algorithms like Decision Tree and Random Forest algorithms, Support Vector Machine Algorithm Deep Learning and Computer vision Neural Networks, Tensor Flow and Keras Natural language processing (NLP) and Text mining Market Basket Analysis NLP with Python, Sentiment analysis Linear regression, Scikit Learn, Confusion matrix, Decision tree, Ensemble approach Random forest, Cross validation.
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Statistics Tableau and Power BI PL/SQL and databases both SQL and NoSQL Data structures and algorithms Artificial Intelligence and Machine learning Machine learning Algorithms Decision Tree and Random Forest Algorithms Naïve Bayes and KNN Algorithm Support Vector Machine (SVM) Statistics Random variables, Zscore, Hypothesis testing, Expected Value Predictive Modeling : Different kind of Business problems and different phases of Predictive modeling and Popular Modeling Algorithms.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DATA STRUCTURES AND ALGORITHMS In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Knowledge of natural language processing (NLP) and deep learning. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, scikit-learn, PyTorch.
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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. Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.
$75,779 - $94,637 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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7+ years of professional experience in Machine Learning, Natural Language Processing, Deep Learning and related areas. We are looking for a Principal Data and Applied Scientist with experience to build reliable products and make business impact using data analysis, machine learning, experiments, data mining, data visualization, and more.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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