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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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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, ) to provide customized automated solutions across multiple business segments.
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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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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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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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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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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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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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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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Data Center/Cloud : Microsoft, Dell/VMware, HP, Cisco, AWS. Data/Analytics: Splunk, Tableau, Power BI, Click. Security: Okta, Crowdstrike, Palo Alto, Proofpoint, Cyber Ark, Sailpoint, Fastly, Fire-Eye, Fortinet.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. 5+ Years of DataStage and Talend ETL and data integration experience.
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Requirements: Bachelor’s degree in Architecture, Engineering, Construction Management, Environmental Science, Biological Science, or related field. 10+ years of commercial real estate due diligence experience, preferably in varying roles including field assessor and reviewer; General understanding of building systems including site work, structural systems, building envelope, and MEP; General understanding of industry-standard environmental concerns, including dry cleaners, vapor concerns, and sites with known or potential releases; Excellent time management and organizational skills to.
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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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Minimum bachelor’s degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) AND/OR an MBA or equivalent experience preferred.
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data science jobs Company: Razorfish Inc in Dallas, RI, United Kingdom
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