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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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The employer will alternatively accept a Master's degree in Software Engineering, Computer Science, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, Software/Java/Application Developer, Programmer Analyst, or related occupation.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. 3+ years of hands-on experience as a quantitative developer developing financial models and software solutions.
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Preferred Qualifications- Previous experience or advanced coursework in data science, algorithmic engineering, or machine learning. - Basic experience with versioning software such as Git.- Working knowledge of data visualization software such as Tableau, Looker, or Domo.- Fundamental knowledge of statistics with some hands-on experience in A/B testing, regression analysis, and ANOVA testing.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Our software platform turns raw infrastructure provided by our cloud partners into a secure, self-service, multi-tenant IaaS. For example, an Azure customer using the Skytap service can deploy an IBM i instance in seconds, connect it to an Azure data service, run experiments, delete the entire stack an hour later, and pay for the usage with existing Azure financial commitments.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Use advanced technical skills including reverse engineering skills to support advanced investigations involving cryptocurrency, malware, and IoT devices in cyber or high-tech investigations. -Certified and experienced in performing forensic analyses using commercial software such as Magnet Axiom, Cellebrite, X-Ways, Encase, Forensic Toolkit, and similar software suites are preferred (please list certification type and date, or relevant experience on your cover letter and resume.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Develop, test, and modify software to improve efficiency of data platforms and applications.
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. Work with an agile team to deliver and evolve data engineering & services.
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We appreciate broad perspectives, a willingness to dive deep, and a readiness to work collaboratively across many disciplines (including product, design, operations, legal, data science, ML.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Bachelor’s degree in computer science, Information Systems / Security, Computer or Systems Engineering, or related technical degree with 2 - 6 years of related NERC CIP experience resulting in demonstrated ability to perform the major duties required.
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software engineering data science jobs Title: software Company: Canonical in New York
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