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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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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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Job Qualifications: Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Job Responsibilities: Team Leadership and Development: Lead, mentor, and develop a team of data scientists and machine learning engineers.
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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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Identifying and incorporating tools and techniques using technology applications (e.g. Microsoft SQL Server, Access/Excel, Visual Basic, R, Python, SAS, Stata, Alteryx) and build reporting capabilities through data visualization (e.g. Tableau, Spotfire, Qlikview.
$40.75 an hourFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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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Top Data Science Providers in India 2022: Penetration and Maturity (PeMa) Quadrant. India’s most promising data science companies in 2022. Tools: Azure PowerBI QLik Snowflake Anaplan Location : Dallas CTC : 120K - 170K Benefits About CloudHire: Our Client: As a data analytics and enterprise planning powerhouse, CloudHire Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner.
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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. The MSL role embodies our medical mission to be recognized as the trusted partner for internal stakeholders and the healthcare community, driving scientific exchange to enhance medical education, data generation, insight generation and patients’ access to medicine.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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Master’s Degree (optional) in a related field, such as Privacy Engineering, Cybersecurity, or Data Science. Implement data privacy and data engineering solutions for Azure products and services: (Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Functions, Event Hub/Service bus, Azure Stream Analytics, Azure Databricks, PySpark, logic apps etc.,) and traditional data warehouse tools.
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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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Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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/characterizationHigh power RF design or test experienceScripting experience (Matlab or Python.
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The ideal candidate will have earned a Ph. D. and/or M.D. in biomedical engineering, electrical engineering, physics, material science, computer science, or a related field. Specific focus research areas are open but may include the development, testing and application of nanomaterials, organic electronics, diverse sensors and autonomous or intelligent sensor systems.
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Data Driven – Extremely comfortable diving deep into analytics platforms, spreadsheets, etc., to detect patterns on which to capitalize while leveraging the latest in data science.
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data science jobs in Dallas, Fernley, Nevada
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