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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc.
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Technical background in the following areas: Cascade analysis and/or frequency planning Filter design and fabrication Circuit card assembly design and fabrication Testing or designing RF hybrid (chip and wire) technologies High speed data converter test/characterization High power RF design or test experience Scripting experience (Matlab or Python.
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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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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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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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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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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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Require Bachelor of Science in Computer Science/Engineering, Computer Information Systems/Technology/Science, Database Engineering/Administration, Data Science/Analytics, or related fields and 5 years of experience in the job offered, software engineer/developer, technical lead/manager, systems/data engineer/analyst/developer, associate/consultant, or related field.
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As a Senior Software Engineer specializing in Data Platforms, your role will involve transforming requirements into practical solutions through coding, fostering collaboration across diverse teams, and offering strategic insights to drive innovation.
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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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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 4 days ago - UpvoteDownvoteShare Job
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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Serve as a consultant to embedded delivery, analytics and data science teams in the development of their data strategy and the ideation, design and implementation of data solutions including data assets and insights.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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data science jobs Title: engineer in Dallas, KS, Arizona
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