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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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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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With Python, we monitor live trading, build our distributed computing platform, process large amounts of data, and write all of our internal tools. As a Python Engineer at HRT, you’ll have an incredible opportunity to work in cutting-edge distributed compute environments at one of the top algorithmic trading companies in the world.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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QualificationsBasic Qualifications:> 5 years of experience in data, data management, reporting, business intelligence, product development> 5 years of experience across the entire enterprise data center stack from the hardware to the application layer> 4 years' experience on Data visualization (Tableau/PowerBI)> 3 years' experience on Data modeling (SQL, Excel)Skills Desired:> Proficiency in MS Office applications, i.e., Excel, PowerPoint.
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Proficiency in data visualization tools: R, Python, Tableau, or similar. The ideal candidate will possess a balance of technical skills, curiosity, and proficiency in data visualization.
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Implementation shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization. Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines in Scala and Python / Spark while maintaining strict uptime SLAs.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data.
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Reporting directly to the Assistant Commissioner of Management Analysis and Planning, with wide latitude for independent initiative and judgment, the Director of Data Science and Innovation will assist senior leadership in making evidence-based decisions.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS.
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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Biomedical Informatics: data science involving multimodal data streams and electronic health records (EHR) from the intensive care unit (ICU). Demonstrated proficiency in programming in Python and ability to create shells for automated data analysis.
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Director, Lead Demand Data Science Description Director Lead Demand Data Scientist is a team lead role. Experience working with large data sets, exploratory data analysis & advanced data visualization.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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data science visualization python jobs Title: engagement in New York, NY
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