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Experience with creating, organizing, analyzing and managing large data sets and using statistical software tools (e.g., R, Python, SQL). Expertise in data visualization tools (e.g. Tableau, Excel, R, Python) and methodologies, capable of translating complex data into accessible and compelling visual formats.
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Maintain a high level of data integrity while managing our recruiting pipeline activity in our ATS (Greenhouse) and track, analyze, and report data related to the interview and hiring process to leadership on a recurring basis.
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Advanced understanding of data science and visualization tools (Python, SQL) Data analysis, management, and visualization. Possess data analysis skillsets and experience with the use of advanced technologies.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Knowledge of data modeling, dimensional modeling, data quality, and metadata managementProficiency in programming languages (e.g., Python, R), data analytics tools (e.g., SQL, Tableau), and machine learning frameworks (e.g., TensorFlow, PyTorch.
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Proficiency in programming languages (e.g., Python, R), data analytics tools (e.g., SQL, Tableau), and machine learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of data integration technologies, ETL processes, and data warehousing concepts; solid comprehension of various cloud-based data platforms such as Azure, Snowflake, AWS, etc.
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Proficiency in Python, R programming, Tableau, or similar data science tools. Join our vibrant team at the School of Engineering & Technology as a Part-Time Faculty Member in various specializations, including Data Science, Engineering, Computer Science, Statistics, and Business Analytics.
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Demonstrated programming experience with Python, and most commonly used libraries for data science / machine learning / AI. The Department of Informatics and Analytics at Dana-Farber Cancer Institute seeks a motivated and talented Artificial Intelligence and Data Engineering Intern for our expanding AI & data team.
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Be fluent in a data science programming language (e.g., Python, R) and distributed platforms (e.g., Spark, Hadoop) As the Head of Data Science Research and Development, you will lead our efforts in data science, machine learning, and artificial intelligence.
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TekStream has an immediate opening for a Data Engineer with a strong background in Python and API integration for a remote long term contract. Strong proficiency in Python for data manipulation and analysis.
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Excellent experience in Object-Oriented programming (Java, Python, C#), Airflow, Apache Spark, source control (GIT) & versioning. Experience of semi-structured (XML, JSON) and unstructured data handling including extraction and ingestion via web-scraping and FTP/SFTP.
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Advanced Excel skills for data manipulation, analysis, and reporting. Knowledge of Python is helpful for enhancing analytical processes. Strong background data analysis with a solid understanding of financial principles.
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Preferred experience in our technology stack- Python, Django, Golang, React, MongoDB, Presto, Pinot, Kafka, AWS. The next phase of Unity focuses on universal objects, where all objects—customer-defined data, first-party developer data, or third-party developer data—should attain the status of first-class citizens.
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Experience learning development languages (PHP, Python, C. Own back-end services like our Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between.
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Strong experience in data research using SQL/SAS/R/Python for data analysis. Write SAS/SQL/VBA/Python code to extract data to perform data analysis and research for data integrity.
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