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Master's in Computer Science, Computer Information Systems, or Management Information Systems plus three years of experience in software development using Python, Alteryx, SQL, OTBI reporting, Oracle BI Publisher, Oracle Fast Formulas, HCM Extracts, SOAP, REST API services, Workday HCM Modules, Workday Studio, Enterprise Interface Builder (EIB), Workday Report Writer, AWS Application Integration, Tableau, Excel, and JIRA. Excellent communication (oral and written) skills are also required.
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FIELD(S) OF STUDY: Data Analytics/Business Intelligence, Computer Science, Business Administration, Industrial Engineering, Mathematics, or related field. A minimum of 2 years of work experience in reporting, analytics, business intelligence, data science or similar field is required.
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Our client, an expanding law firm, is looking for a patent attorney (associate, partner track) with a solid technical background in computer science and engineering. Patent Attorney / Computer Science / Computer Engineering / Software / CS.
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Responsibilities: Enterprise Data Engineering Delivery: Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.
$248,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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BS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Coordinate project planning and management, in conjunction with product, data science, and ML engineering, to ensure timely delivery and focused execution. Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Degree in Computer Science, Electrical Engineering, or related field. Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The ECE department also supports other Mason Engineering programs through interdisciplinary collaboration in both education and research and has close ties with other departments such as the Departments of Bioengineering, Computer Science, Cyber Security Engineering, Information Sciences and Technology, and Mechanical Engineering.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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For positions at GS-3 (or equivalent): Successful completion of l year of post-secondary study that included at least 6 semester hours in any combination of courses such as engineering, engineering or industrial technology, construction, physics, drafting, surveying, physical science, or mathematics.
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MS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc.
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Area of Specialization: Data Management, Computer Science/Software Engineering, DevOps or related discipline Engineering, Cloud Infrastructure, cloud computing or related discipline - Specialized knowledge in data management, software implementation, cloud computing, etc is needed to manage Onyx products.
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Bachelor‘s or Master‘s degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience. Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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Preferably a master's degree related to Intelligence Studies, Forensic Science, Security Studies, Computer Science, Cybersecurity, Data Analysis, or a related field. This responsibility includes the development of security and safety policies and procedures, regulatory and legislative compliance, corporate aviation, guard management, alarm response, crisis management, ATM, branch and corporate building security and customer safety, physical crime investigations, workplace violence, fire and life safety, pre-employment screening, fraud and employee investigations.
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big data science management computer engineering jobs Company: Comcast
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