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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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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.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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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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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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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C C# Python JavaScript React & Angular DevOps and Cloud Engineering Networking IAC GCP AWS Azure Data Engineering & Analysis Data Pipelining RPA PMO & Business Analysis Technical Analysis If you have strong experience in any of the above this is what we are looking for.
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Manages data collection processes and analyzes data acquired from predictive tools measuring vibration, oil/lubrication, thermography, and ultrasound. Our four integrated businesses – Roofing, Insulation, Doors, and Composites – provide durable, sustainable, energy-efficient solutions that leverage our unique material science, manufacturing, and market knowledge to help our customers win and grow.
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A major in either Math, Engineering, Computer Science, Computer information Systems, Cyber Security, Management Information Systems (MIS) and Data Science, and others. We will have you work on rotational assignments for a variety of experiences including Full- Stack development, Cloud, Data, and products like Salesforce, Mosaic, Duck Creek, etc.
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Possess a strong commitment to institutional effectiveness, program performance management, and being well versed in using data to make program and school related decisions. The Department Chair reports to the Dean, Academic Affairs or the Vice Provost, School of and is the only position in the redesigned Dallas College that supervises faculty members.
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Development of our organizational approach in leveraging data science to better predict customer value and business outcomes. Strong knowledge and technical skills using common data management tools, (e.g. Excel, SQL, R/Python, AWS Redshift, Tableau, etc.
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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. Strong grasp of computer science fundamentals and excellent problem-solving skills.
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data science jobs in Dallas, GA, Arizona
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