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Technical background in the following areas:Cascade analysis and/or frequency planningFilter design and fabricationCircuit card assembly design and fabricationTesting or designing RF hybrid (chip and wire) technologiesHigh speed data converter test/characterization High power RF design or test experienceScripting experience (Matlab or Python.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Key Skills: Expertise in refractory materials science and engineering. Ideal Candidate Profile: The ideal candidate will have a robust background in refractory materials and systems, with a demonstrated ability to apply scientific principles and data analysis to solve complex engineering problems.
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IT Qualifications At least two of the following: Bachelor of Engineering – Computer Science, Bachelor of Technology – Computer Science, Master of Computer Application CompTIA A+, Microsoft Certified Professional (MCP) or better.
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Requirements: Master’s degree (or foreign equivalent) in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Analytics, Civil Engineering or a related field and two (2) years of experience in the job offered or related occupation.
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Work closely with data science team to implement data analytics pipelines. Remote Data Quality Engineer needs 8 years experience. Data engineer with testing knowledge.
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We are seeking Cloud Engineer to be part of our customer facing Systems Engineering Team. The Cloud engineer is focused on Cloud requirements and how to solution Air Force NetBond access to Microsoft Azure and Amazon Web Services as well as to Air Force data centers.
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We are currently seeking a Data Engineer for our client in the Retail domain. Must be a strong senior level data engineer with experience working with enterprise data team.
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Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space.
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Job Summary:The Software Engineering Senior Associate, Valuation & Capital Market Analysis – Complex Financial Instruments will be a member of the Data Science team that builds Python based models and related infrastructure to speed up the development and deployment of machine language (ML), statistical and mathematical models at scale and bring game-changing impact to our client’s decisioning.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
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Study and transform data science prototypes. Understanding of data structures, data modeling and software architecture. Select appropriate datasets and data representation methods.
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As an AmTrust Data Engineer you will participate in the design, analysis, and development of Data Warehouse, Business Intelligence, and Data Science (AI/ML) initiatives.
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The ideal candidate will have a strong technical background in Software Engineering, data science, machine learning, with a passion for innovation and problem-solving. The salary range information provided, reflects the anticipated base salary range for this position based on current national data.
$163,976.91 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
data science jobs Title: engineer in Dallas, TX
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