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Proficient in web scraping, data extraction, data cleansing, and data visualization techniques. Proficiency with the modern Python data science stack including numpy, pandas, matplotlib, sklearn, pytorch, beautifulsoup, selenium.
$95,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support program evaluations and the development of health policy.
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Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support Client therapeutic target identification and disease biomarker discovery.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proficiency in R, Python, SAS or other complex analytical tool, and Tableau or other data mining/visualization software. Leverage SQL development skills to perform full lifecycle data mining activities, including requirements analysis, data quality assessment, data profiling, design and development of analytic data sets, data extraction, transformation, and loading (ETL) from relational databases and flat-file sources.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We do everything from data collection to UI/UX development and advanced deep learning, using a broad toolset including Python, C#, and ArcGIS. Our projects include cutting-edge R&D efforts, as well as large mission programs incorporating data processing/optimization, data dissemination techniques, visualization, and collaboration across the commercial and government sectors.
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This position will support SMECO business units with data requests, research, and statistical analysis including the use of programming languages (R, Python, SQL) and data visualization software.
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Help design data models to support an agile development lifecycle inclusive of data visualization and predictive analytics. Design, solution, and build data visualization products to be consumed by our Sales & CX Leadership teams.
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Python, SQL, Google Cloud Platform Cloud, Pandas, Numpy, Pyspark, Power BI, data visualization tools, FLASK, DataBricks, NLP, Machine Learning, Data Mining, Statistical analysis and Data Modeling.
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Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3. Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Data Visualization Tools, Microsoft Power BI, Python (Programming Language), R Programming, Tableau (Software) Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau, Power BI.
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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
$86,900 - $233,010 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques. Strong programming skills in languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Data Engineer needs to have expert technical knowledge of platforms and software technology (ETL/ELT, SQL, Power BI, Python), deep expertise in data management techniques, ability to drive effective support of data analysis and model management, and experience with IT project management practices.
ExpandApply NowActive JobUpdated 9 days ago
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