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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 Warehouse Architect- Direct Hire; 100% onsite (Dallas TX) POSITION OVERVIEW The Data Warehouse Architect Role involves strategically designing and implementing data warehouses, data marts, and data stores as well as requisite ETL (Extract, Transform, Load) and visualization (reporting) development while ensuring high levels of data availability.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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You will be working cross functionally with internal teams including Sales, Sales Engineering, Data Center Operations, Product, Procurement/Supply Chain and Finance teams. Expert level knowledge of white space fit-outs including rack, cage, electrical distribution, and data cable infrastructure, reading/interpreting construction plans, one-line drawings, and construction specifications and global data center construction practices, including mechanical, electrical and IT infrastructure.
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Job Overview: As a Remote Data Entry Specialist at Dreamscape Destinations, you will play a crucial role in maintaining accurate and up-to-date travel-related data. Job Title: Remote Data Entry Specialist.
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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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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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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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Maintains Quality Control files on a daily basis and does mathematical calculations including data review and data entry to the laboratory reporting system including data quality review and entry into appropriate data files.
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NET, Full Stack Developer, Information Security, Developers, Data Science, UX/UI, Cybersecurity, Machine Learning, Python Programmers, IT Staffing, IT Recruiting, IT Jobs, IT Consulting, IT Recruiters, and UI UX.
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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 Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS. Data/Analytics: Splunk, Tableau, Power BI, Click. Working with our Sales Leadership, Internal Support, and our Training and Development Teams, the Client Advisor will be enabled to position Stratascale's Innovative Solutions and World Class Support to their Target Customer List.
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Experience creating of interactive data visualization with any the following platforms Power BI, Tableau, SAC. Experience designing highly scalable ETL processes with complex data transformations, data formats including error handling and monitoring using tools like Qlik Compose, DBT.
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Building custom AI solutions is a plus: Python, R, use of data science tools (DataRobot, Cloudera Data Science Workbench, Anaconda, Jupyter Notebook, etc.) The Artificial Intelligence and Intelligent Automation Center - Research & Development team is responsible for solving business problems using AI. The team is engaged on strategic projects which include new product design, generative AI, data science, and automation opportunities.
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data science jobs Title: sales manager in Dallas, NV, Canada
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